| Поиск по каталогу |
|
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Artificial Neural Network (ANN): Application in Pharmaceutics.
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Dr.Prithviraj Chakraborty
ISBN: 9786139971473
Год издания: 2018
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 52
Издательство: LAP LAMBERT Academic Publishing
Цена: 22924 тг
Положить в корзину
| Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
| Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
| Курьерская доставка CDEK из города Москва |
| Доставка Почтой России из города Москва |
Аннотация: In the progression of a dosage form, an essential distress is to layout an optimized pharmaceutical formula in an ephemeral time period with marginal trials. Due to the difficulty inside the improvement of pharmaceutical formulations, some computer-based optimization strategies has been utilized correctly. The purpose of this book is to revise the theoretical history and application of an artificial neural network (ANN), a computational version for storing and retrieving obtained expertise, during pharmaceutical formulation development.
Ключевые слова: ANN, Formulation Development, pharmaceutics
Похожие издания
 | Отрасли знаний: Общественные науки -> Юриспруденция Aleksandar Milinković,Borislav Agapijev and Nikola Mrkšić Financial Derivatives Pricing using Artificial Neural Networks.. 1905 г., 136 стр., мягкий переплет Pricing has always been a point of discussion in the world of financial derivatives. Since the ground-breaking paper from Black and Scholes, derivatives have been priced using their and other parametric models. However, even controlled for assumptions, Black-Scholes mismatches empirical findings and fails to explain the volatility surface. This... | 39944 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Sayan Majumder Cervical Cancer & Handwriting Recognition Using ANN. Applications of Artificial Neural Network. 1905 г., 52 стр., мягкий переплет The topic of my book is the Detection Of Cervical Cancer Using Artificial Neural Networks, which is totally based on training a data set and finding the probability of detecting Cervical Cancer which is a serious matter of concern nowadays and which affected women mostly from the early ages.The another purpose of this book is to build an automatic... | 24860 тг |
 | Отрасли экономики: Агропромышленный комплекс -> Растениеводство -> Садоводство J. M. Chavda,S. K. Chavda and J. J. Makwana APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNIQUE. Rainfall Forecasting. 1905 г., 84 стр., мягкий переплет Rainfall is very important parameter in hydrological model. Many techniques and models have been developed for rainfall forecasting. This study present a method of rainfall forecasting by developing an ANN- based model using major weather variables such as dry bulb temperature, wet bulb temperature, relative humidity, pan evaporation, vapour... | 25997 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование K Venkata Naganjaneyulu Fabricated Neural Networks. Introduction to Artificial Neural Networks. 1905 г., 56 стр., мягкий переплет The book arises the following important questions:• Artificial Neural Networks are parallel computing devices, which are basically an attempt to make a computer model of the brain. • The main objective is to develop a system to perform various computational tasks faster than the traditional systems.• Neural networks are parallel... | 25002 тг |
 | Отрасли экономики: Энергетика и электроснабжение Antonyraj S.,Giftson Samuel G. and Elakkiya E. MPPT Under Partial Shading Conditions Using Artificial Neural Network. Maximum Powerpoint Tracking; Radial Basis Function Neural Network; Boosted Salp Swarm Optimization. 1905 г., 60 стр., мягкий переплет This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the... | 25144 тг |
 | Отрасли знаний: Естественные науки -> Экология Dr. Panga Narasimha Reddy,Dr. Bode Venkata Kavyatheja and Dr. B. Damodhara Reddy Comparison of ANN and RSM in Predicting the Strength of Concrete. ARTIFICIAL NEURAL NETWORK (ANN) AND RESPONSE SURFACE METHODOLOGY (RSM) MODELS. 1905 г., 68 стр., мягкий переплет This study presents a comparative study between Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in predicting the compressive strength of high strength concrete. The comparison was made based on the same experimental datasets. The inputs investigated in this study were percentage of Cement, Silica fume and coarse aggregate.... | 25429 тг |
 | Отрасли экономики: Промышленность в целом Shahide Dehghan,Elahe Zamani and Hossein Gholami Artificial Neural Network in Water Engineering.. 1905 г., 72 стр., мягкий переплет Forecasts of future events are required in many of the activities associated with the planning and operation of the components of a water resource system. For the hydrologic component, there is a need for both short and long-term forecasts of hydrologic time series in order to optimize the system or to plan for future expansion or reduction. This... | 25571 тг |
 | Отрасли экономики: Промышленность в целом Shahide Dehghan,Hossein Norouzi and Hossein Gholami Artificial Neural Network for Civil Engineering.. 1905 г., 92 стр., мягкий переплет In recent years, artificial neural networks (ANN) and artificial intelligence (AI), in general, have garnered significant attention with respect to their applications in several scientific fields, varying from big data management to medical diagnosis. ANN techniques are already used in everyday applications, such as personalized advertisements,... | 34509 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Rejo Roy and Albert John Varghese Solar/Wind Forecasting to Increase the Reliability of the RE System. Approach using Artificial Neural Networks based on Heuristic Algorithm. 1905 г., 140 стр., мягкий переплет Solar and wind energy are the most widely used renewable energy resources. Its availability varies from season to season, day to day, and even within a day itself. Due to this variability, forecasting large solar PV power and wind power plants becomes necessary. A reasonably reliable forecast is an important input to the state load dispatch... | 40086 тг |
 | Отрасли знаний: Медицина Dr Shabnam Sayyad Artificial Neural Networks Algorithm for Diagnosis of Human Hair loss.. 1905 г., 164 стр., мягкий переплет In this book, artificial neural networks (ANNs) are being used to diagnose hair loss in patients. An autoimmune condition known as Alopecia Areata (AA) results in hair loss in the affected area. The most recent figures from throughout the world show that AA affects 1 in 1000 persons and has a 2% incidence rate. For instance, classification is... | 46262 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Pankaj Kumar and S. K. Singh ARTIFICIAL NEURAL NETWORKS. A Complete Introduction. 1905 г., 84 стр., мягкий переплет This book will be useful for graduates, post-graduates, and research students as well various programmers, who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.Artificial Neural Networks (ANN) provide a way to realize one of our human dreams to make... | 25997 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Ugochukwu O. Matthew,Engr. Dr Jazuli S. Kazaure and Nwamaka U. Okafor Business Intelligence Applications & Artificial Neural Network. Data Mining Business Intelligence Applications in Retail Services Using Artificial Neural Network (ANN) Algorithm. 1905 г., 56 стр., мягкий переплет In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical... | 25002 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Anita Venugopal and Anil Kumar Kapil DESIGN & ANALYSIS OF HAND WRITTEN STRINGS OF HINDI: ANN APPROACH. Artificial Neural Network Application. 1905 г., 220 стр., мягкий переплет Artificial Neural Networks are computational models and inspire by the human brain. Many of the recent advancements have been made in the field of Artificial Intelligence, including Voice Recognition, Image Recognition, Robotics using Artificial Neural Networks. Artificial Neural Networks are the biologically inspired simulations performed on the... | 46800 тг |
 | Отрасли экономики: Машиностроение B. ANJANEYULU M.Tech, (Ph.D), MIE PROCESS PARAMETERS OPTIMIZATION ON CNC MILLING. Prediction of Process Parameters by Taguchi and Artificial Neural Networks on Computer Numerical Control Milling Machine. 1905 г., 52 стр., мягкий переплет Milling is one of the most important machining processes in manufacturing parts made out of FRPs. Milling is a very versatile process capable of producing simple two dimensional flat shapes to complex three dimensional interlaced surface configurations, in which a rotating, multi-tooth cutter removes material while traveling along various axes... | 22924 тг |
 | Отрасли знаний: Общественные науки -> Политика и политология Sneha Soni,Kalpana Rai and Anjali Sharma Link Prediction in Social Network Using Artificial Neural Network.. 1905 г., 60 стр., мягкий переплет Social Networks (SNs) have attracted many users and have become an integrated a part of the individual’s daily practices. The rapid climb of SNs like Twitter and Facebook has generated great deal of knowledge that sets direction for research in social relationships. The knowledge network represented by Facebook is predicated on information... | 25144 тг |
 | Отрасли экономики: Промышленность в целом Olga Yankovich Modern technologies with elements of artificial intelligence and artificial neural networks Part 4. Psychological nuances of marketing products created on the basis of and in the development of these technologies in their interaction with TRIZ. 1905 г., 60 стр., мягкий переплет It is especially important to assess the need to start the innovation process and understand, and better to build a psychological analytical model and calculate all possible scenarios in the process of commercialization, certainly in combination with a real forecast of the achievable level or degree of protection of a new product, as a non-obvious... | 23208 тг |
 | Отрасли экономики: Промышленность в целом Olga Yankovich Modern technologies with elements of artificial intelligence and artificial neural networks Part 2. Psychological nuances of marketing products created on the basis of and in the development of these technologies in their interaction with TRIZ. 1905 г., 60 стр., мягкий переплет It is especially important to assess the need to start the innovation process and understand, and better to build a psychological analytical model and calculate all possible scenarios in the process of commercialization, certainly in combination with a real forecast of the achievable level or degree of protection of a new product, as a non-obvious... | 23208 тг |
 | Отрасли экономики: Промышленность в целом Olga Yankovich Modern technologies with elements of artificial intelligence and artificial neural networks Part 3. Psychological nuances of marketing products created on the basis of and in the development of these technologies in their interaction with TRIZ. 1905 г., 68 стр., мягкий переплет It is especially important to assess the need to start the innovation process and understand, and better to build a psychological analytical model and calculate all possible scenarios in the process of commercialization, certainly in combination with a real forecast of the achievable level or degree of protection of a new product, as a non-obvious... | 23493 тг |
 | Отрасли экономики: Промышленность в целом Olga Yankovich Modern technologies with elements of artificial intelligence and artificial neural networks Part 1. Psychological nuances of marketing products created on the basis of and in the development of these technologies in their interaction with TRIZ. 1905 г., 60 стр., мягкий переплет It is especially important to assess the need to start the innovation process and understand, and better to build a psychological analytical model and calculate all possible scenarios in the process of commercialization, certainly in combination with a real forecast of the achievable level or degree of protection of a new product, as a non-obvious... | 23208 тг |
 | Отрасли экономики: Промышленность в целом Thippeswamy K Artificial Neural Network. Incorporating Optimized Algorithm. 1905 г., 76 стр., мягкий переплет Artificial neural networks are complex networks emulating the manner human rational neurons process data. They have been widely used in prediction, clustering, classification, and association. The training algorithms that determine the network weights are almost the most important factor that influences the neural network’s performance. Lately... | 23777 тг |
 | Отрасли экономики: Машиностроение Obrad Ani?i? Artificial neural network implementation in machining & manufacturing. Temperature influence in cutting zone during machining process. 1905 г., 60 стр., мягкий переплет The main aim of the study was to evaluate temperature influence in cutting zone on the forms of chip shapes during turning of Steel 30CrNiMo8. It is very important to use optimal machining parameters to get the best production results or to high control of the machining process. Temperature distribution in cutting zone during machining process... | 23208 тг |
 | Отрасли знаний: Науки о Земле -> География Sohaib K M Abujayyab Landfill sites suitability mapping utilizing artificial neural network.. 1905 г., 220 стр., мягкий переплет It is very crucial to have a precise suitability mapping workflow for new landfill sites in the development planning of municipal solid waste management systems. An appropriate siting of landfill sites will protect both environment and public health. However, the complexity in the process of suitability mapping that arises from the attempt to... | 46800 тг |
 | Отрасли экономики: Промышленность в целом Ritu Dewan,Punit Gupta and Mayank Kumar Goyal, Ms. Abha Kiran Rajpoot Artificial Neural Network Based Scheduling In Cloud.. 1905 г., 76 стр., мягкий переплет Various task scheduling models are in use currently, but the one which we will be focusing on is the ANN (Artificial Neural Network)-based model. This model was set up to estimate the task execution status for resource allotment among the candidates. An ANN-based model makes use of various scheduling algorithms to find the best results possible in... | 23777 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Biswarup Ganguly Single Person Hand Gesture Recognition using Artificial Neural Network. . 2020 г., 60 стр., мягкий переплет The introduction of gesture recognition has led to a better man-machine interaction (MMI). Gesture recognition is an interesting topic in computer vision and pattern recognition (CVPR) technology which deals with the mathematical interpretation of human gestures via a computing device. It enables a human being to interact with machines without any... | 23208 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Muzamir Isa,Mohamad Nur Khairul Hafizi Rohani and Faizah Abu Bakar Partial Discharge Recognition Using Artificial Neural Network. . 2020 г., 80 стр., мягкий переплет Partial discharge (PD) seriously affects the reliability of the distribution system due to electrical stress and the duration of the installation. Recent technology advance brings the analysis of the PD act as the guideline and maintenance strategy can be carried out when a parameter exceeding the predefined level. This book presents an artificial... | 23919 тг |
 | Отрасли знаний: Естественные науки -> Химия Rashin Andayesh and Maryam Abrishamkar Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN. Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber. 2020 г., 52 стр., мягкий переплет In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH,... | 22924 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование POONGUZHALI S. LUNG DISEASES PREDICTION BY PATTERN CLASSIFICATION AND SEGMENTATION. An Artificial Neural Network Approach. 2020 г., 80 стр., мягкий переплет Lung diseases are the maladies that affect the lungs, the organs that allow us to breathe and it is the most common medical conditions worldwide especially in India. The diseases such as pleural effusion and normal lung are detected and classified in this work. This paper introduces a computer aided classification method in Computer Tomography... | 26823 тг |
 | Отрасли экономики: Машиностроение Hashem Nowruzi and Mahdi Yousefifard Application of Artificial Neural Network in Marine Engineering. . 2020 г., 204 стр., мягкий переплет Artificial Neural Networks (ANNs) are immensely interesting due to their capability to predict the complex system output with various input parameters. Accordingly, researchers are seeking to improve the efficiency of ANNs in predicting the various engineering problems. Therefore, in the present book, we tried to develop an iterative methodology... | 43812 тг |
 | Отрасли знаний: Естественные науки -> Химия Rashin Andayesh Predicting the Removal Amount of SCN- by TiO2 NPs Using ANN Methods. Using Novel Artificial Neural Network Methods in Removing Aqueous Thiocyanate Anions by Titanium Dioxide Nanoparticles. 2020 г., 52 стр., мягкий переплет In this work, the adsorbent method is performed using arti?cial neural network (ANN) modeling. The adsorbent is applied for removal of Thiocyanate in water samples using Titanium Dioxide (TiO2) nanoparticles as effective sorbent. Prediction amount of Thiocyanate removal was investigated with novel algorithms of neural network. For this purpose,... | 22924 тг |
 | Отрасли экономики: Машиностроение Panchanand Jha and Bibhuti Bhusan Biswal Kinematics with artificial neural network. A basic approach. 2020 г., 72 стр., мягкий переплет A brief introduction of industrial robot manipulators, evolution and classification is presented. The basic configurations of robot manipulator are demonstrated and their benefits and drawbacks are deliberated along with the applications. The difficulties to solve forward and inverse kinematics of robot manipulator are discussed and solution of... | 23635 тг |
 | Отрасли экономики: Промышленность в целом Pardeep Kumar AN INTELLIGENT APPROACH ON SECURITY AND PRIVACY IN WSN. Used Artificial Neural Network Framework. 2020 г., 164 стр., мягкий переплет Security worries for WSNs there are an assortment of novel difficulties. Security change procedures have computational, communication and capacity pre requisites, which additionally force sensor hubs. Also, it is unreasonable to have a main issue of control in sensor networks on account of their asset limitations and network elements. In this way,... | 42391 тг |
 | Сферы деятельности: Образование Ashraf Sharawy and Lamyaa Taha Deep learning. Artificial Neural Networks (ANN). 2020 г., 56 стр., мягкий переплет Deep learning is a hot research topic these days. Neural networks are the workhorses of deep learning. In this research the basics of neural networks were studied. ANNs may be defined as structures comprised of densely interconnected adaptive simple processing elements (called artificial neurons or nodes) that are capable of performing massively... | 23066 тг |
 | Отрасли экономики: Промышленность в целом Yerzhan Kusparmakov The principles of organization and construction of patent protection. Smart Integrative Technical Systems, Quantum Computers, Artificial Intelligence (AI), Artificial Neural Networks (ANN). 2020 г., 68 стр., мягкий переплет The principles of the conceptual organization and construction of patent protection for smart integrative technical systems containing complex subsystems, managed and on-line controlled at the level of capabilities of quantum computers containing elements of artificial intelligence and artificial neural networks.The integration of software... | 17201 тг |
 | Отрасли экономики: Промышленность в целом Dr. Gagan Deep Artificial Neural Network and Transfer Learning for Histology Images. Breast Cancer Classification using AI and TL. 2020 г., 88 стр., мягкий переплет In this book, comparison on performance of artificial neural network and transfer learning is made for classification of breast cancer into malignant and benign. First artificial neural network topology is design using three hidden layers used for feature extraction and after that softmax layer is used for prediction of cancer as malignant and... | 24203 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Saritha V Fault Tolerance for faults in Artificial Neural Networks. Robust Fault Tolerance for Multinode faults in RBF Neural Networks. 2019 г., 64 стр., мягкий переплет This bookk addresses the fault tolerance of RBF networks where all hidden nodes have the same fault rate and their fault probabilities are independent. Assuming that there is a Gaussian distributed noise in the output data, we have derived an objective function for robustly training an RBF network based on the Kullback–Leibler divergence. We... | 23350 тг |
 | Отрасли знаний: Общественные науки -> Экономика Nikam Sangram Subhash Artificial neural network model for prediction of crop evapotranspiration. . 2019 г., 88 стр., мягкий переплет Water is becoming a scarce and expensive resource in most civilized areas throughout the world. It is estimated that more than half of the world population depends on agricultural irrigated products. In agriculture, water requirements are associated with irrigation demand and its prediction involves a computation of many water balance parameters... | 31463 тг |
 | Отрасли экономики: Машиностроение Veeresh Kumar G. B.,C. S. P. Rao and N. Selvaraj Prediction of Tribological Properties of Al MMCs using ANN Models. Wear Studies of Aluminum based Metal Matrix Composites and Prediction of Wear using Artificial Neural Networks. 2019 г., 184 стр., мягкий переплет The superior properties of composite materials over conventional materials have been well acknowledged by the research community. In particular, Aluminum Metal Matrix Composites (Al-MMCs) are sought over other conventional engineering materials owing to their excellent mechanical properties and outstanding wear resistance. Al-MMCs are widely used... | 43101 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Vinod Patil,Tushar Jaware and Ravindra Badgujar Artificial Neural Network. . 2019 г., 52 стр., мягкий переплет An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements... | 22924 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Pritam Singha Roy and Moumita Guha Review: Artificial Neural Network and its Application in Antennas. Modeling and Optimization. 2019 г., 60 стр., мягкий переплет Wireless communications have demand for wireless device of light weight, small size, having low energy consumption and of more practicability. The microstrip antenna is the best choice that fulfills the basic requirements of wireless communication device i.e. antenna should be relatively cheap, light weight, robust, easy to manufacture and with a... | 23208 тг |
 | Отрасли знаний: Общественные науки -> Экономика Anjali Karsh Determination of true harmonic current contribution. Of customer using artificial neural network in power system. 2018 г., 84 стр., мягкий переплет With the increasing demand of the electrical energy, the power system network have become more complex and large. The increasing use of power electronics based non linear devices in today’s modern power system network become a major key component at the transmission as well as the distribution level. Although these devices brought about many... | 24061 тг |
 | Отрасли знаний: Науки о Земле Kuda Udage Janaki Sandamali and Kalu Arachchige Manjula Chathuranga Artificial neural networks based automatic feature extraction. Linear and Area Feature Extraction from Worldview-02 Satellite Images for Cadastral Data Collection. 2019 г., 96 стр., мягкий переплет Cadastral Surveying deals with ownership, boundaries, extent and value of land or property in a given area, mainly for the purpose of taxation. Traditional cadastral surveying approaches are always time consuming and require lot of efforts in field surveying especially in remote and mountainous areas. The photogrammetric technique is a possible... | 31747 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Samuel Shawel Tessema Fault Location Estimator Design. For Power Distribution System Using Artificial Neural Networks. 2019 г., 104 стр., мягкий переплет Fault location in distribution system is critical issue to increase the availability of power supply by reducing the time of interruption for maintenance in electric utility companies. In this thesis fault location estimator for power distribution system using artificial neural network is developed for line to ground, line to line, line to line to... | 32031 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов M. Iskandar Petra Novel hardwired distributive tactile sensing system. Using Artificial Neural Network for Medical Application. 2019 г., 236 стр., мягкий переплет This book described the research carried out on the development of a novel hardwired tactile sensing system tailored for the application of a next generation of surgical robotic and clinical devices, namely a steerable endoscope with tactile feedback, and a surface plate for patient posture and balance. Two case studies are examined and presented... | 53660 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Внешнеэкономическая деятельность Constantin Ilie and Margareta Ilie Simulating the Poverty Risk Threshold in France. Short Research on Poverty Risk Threshold Using Artificial Neural Networks. 2019 г., 52 стр., мягкий переплет This book aims at researching the possibility of predicting the poverty risk threshold in France, considering the sustainable development indicators defined and registered by the European Union, and using a technique from the artificial intelligence field, i.e. artificial neural networks (ANNs). The main objective is to determine a more efficient... | 16633 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Silviu Mihai Rei and Dan Chicea Artificial Neural Network Assisted Dynamic Light Scattering. . 2018 г., 256 стр., мягкий переплет Dynamic Light Scattering (DLS) is a technique that is currently used in particle sizing. As it was mentioned for the first time in the 70’s, it is very well established. A question naturally rises: is there any improvement that can still be brought to DLS? This book presents in detail the results of our work, aiming to simplify the experimental... | 48078 тг |
 | Отрасли экономики: Машиностроение Rohit Ghulanavar and Moshim Mulla Fault Detection of Gear Box using Artificial Neural Network (ANN). . 2018 г., 64 стр., мягкий переплет Fault diagnosis plays an important role in condition monitoring to enhance the machine time. In view of this, the present investigation focused on the development of Fault diagnosis system of gear boxes based on the vibration signatures and Artificial Neural Networks. In the present investigation to generate the vibration signatures an... | 23350 тг |
 | Отрасли экономики: Машиностроение -> Автомобилестроение Van Suong Nguyen and Nam Kyun Im Automatic Ship Berthing Using Artificial Neural Network Controller. . 2018 г., 100 стр., мягкий переплет The Artificial Neural Network (ANN) model has been known as one of the most effective theories for automatic ship berthing, as it has learning ability and mimics the actions of the human brain when performing the stages of ship berthing. However, existing ANN controllers can only bring a ship into a berth in a certain port, where the inputs of the... | 31889 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Aritra Acharyya Automatic Speaker Verification using Artificial Neural Networks. A Potential Application of Artificial Neural Networks. 2018 г., 64 стр., мягкий переплет This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker... | 23350 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Munachiso C. Ogbodo and Dinebari K. Dumde Prediction of Concrete Mix Ratio Using Artificial Neural Network. . 2018 г., 52 стр., мягкий переплет This book presents the prediction of concrete mix ratio using Artificial Neural Network model. An artificial neural network model was developed, trained and tested with 359 concrete mix data sets. These data sets was gotten from concrete companies, sorted and used, for which 70%, 15% and 15% has been used for training, validation and testing... | 20988 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Prof. Dr. Qaysar Mahdi and M.Sc. Safeen Hassan Rasul Knowledge Base Reasoning based on Artificial Neural Network. Ishik University. 2018 г., 104 стр., мягкий переплет The main aim of this book is to introduce the knowledge base reasoning using artificial intelligence in computer science. This book provides a proposed system that represents two important topics: a propositional logic and non-classical logic. Then represents them in artificial neural network so that to provide an easy way for reasoning and making... | 29611 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Языки программирования Ahmed F. Gad TensorFlow: A Guide to Build Artificial Neural Networks using Python. Build artificial neural networks using TensorFlow library with detailed explanation of each step and line of code. 2017 г., 96 стр., мягкий переплет This guide assumes you know nothing about TensorFlow and takes you from the beginning until understanding the basics of a TensorFlow program including Variables, Placeholders, dataflow graphs, TensorFlow Core API, and TensorBoard for visualization. Because artificial neural networks (ANNs) are in the heart of deep learning models, it is... | 29327 тг |
 | Отрасли знаний: Точные науки -> Математика Pradip Kyada,Pravendra Kumar and Manoj Sojitra Short-term Rainfall Forecasting using ANNs and ANFIS Models. Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System. 2017 г., 100 стр., мягкий переплет Rainfall forecasting still represents an extremely important issue in hydrology. On the other hand, rainfall is one of the most complicated effective hydrologic processes in runoff prediction. In the present study an attempt has been made to develop artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models for... | 29469 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Reecha Sharma and Jasmeet Kaur Offline Handwritten Signature Verification Method. Based on Artificial Immune Recognition System and Artificial Neural Network. 2017 г., 72 стр., мягкий переплет Natural immune system offers several fascinating options that motivated the planning of Artificial Immune Systems (AIS) accustomed solve varied issues of engineering and Artificial Intelligence (AI). AIS are significantly thriving in fault detection and diagnosing applications where anomalies like errors and failures are assimilated to viruses... | 21699 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Hosham Salim,Khalid Faisal and Raheel Jawad Design Models of Steam Power Plant. By using Electric Circuit, Cycle Tempo Program and Artificial Neural Network (ANNs). 2017 г., 80 стр., мягкий переплет The purpose of this book is to go to through the main topics address a number of experimental and theoretical studies on the intelligent techniques used to control of steam power plant for enhancement and evaluation of the performance of the thermal power plant. This book included many of intelligent techniques such as Artificial Neural... | 21983 тг |
 | Отрасли знаний: Естественные науки -> Экология Mehdi Shaddel Feasibility of Solar Thermal Collectors via Artificial Neural Network. Case Study: Mashhad. 2017 г., 152 стр., мягкий переплет Today, the concept of net zero- energy buildings has become a major concern regarding fossil fuels combustion side effects, such as air pollution or global warming. NG (Natural Gas) is a kind of fossil fuels which is widely combusted in Iran to meet various buildings heating demand. However, this research is proposed mitigating NG flaring by... | 34220 тг |
 | Отрасли знаний: Точные науки -> Математика Preethi Ramaswami and Rishivarman A. Ramachandran A Digital Signature Authentication Using Artificial Neural Network. ANN Cryptography. 2017 г., 64 стр., мягкий переплет Digital signature verification and recognition is a technology that can improve security in our day to day life.in this paper offline signature verification using neural network is projected..The use of ANN as hash function for the digital signature images offer a new approach to protect the integrity of images.Also this hash function is one-way... | 21414 тг |
 | Отрасли знаний: Точные науки -> Математика Mazin Suhhiem Solution of Fuzzy Problems Under Generalized H-Derivation. Artificial Neural Network For Solving Fuzzy Differential Equations Under Generalized H- Derivation. 2017 г., 60 стр., мягкий переплет Nowadays , fuzzy differential equation FDE is a popular topic studied by many researchers since it is utilized widely for the purpose of modeling problems in science and engineering . Most of the practical problems require the solution of FDE which satisfies fuzzy initial or fuzzy boundary conditions , therefore, the fuzzy problem should be solved... | 21272 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Abhishek Dixit Neural Network in Market Segmentation. A Descriptive study of Market Segmentation using Artificial Neural Networks. 2017 г., 60 стр., мягкий переплет Artificial Neural Networks (ANNs) are distributed information-processing systems and powerful general-purpose software tools, composed of many simple computational elements interacting across weighted connections. They are computer-based representations of mathematical models that are composed of a large number of simple, highly interconnected... | 21272 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Archana K. Chowdhary and Keerti K. Chowdhary Ground Water Modeling. Using Artificial Neural Network. 2017 г., 80 стр., мягкий переплет The world’s water resources are unequally distributed both in time and space. Until recently water resource management focused mainly on delivering water when and where it was required, a supply side or fragmental approach. Now, it is apparent that water availability is dwindling due to both population growth and increased per capita water use... | 16176 тг |
 | Отрасли знаний: Гуманитарные науки -> Лингвистика, филология, изучение языков и словари Meryem Karl?k Artificial Neural Networks Methodology for Second Language Learning. . 2017 г., 120 стр., мягкий переплет Learning Artificial Intelligence is difficult for someone who is out of (non-area) computer science and engineering department, therefore special training must get in this regard. Besides, I faced a number of challenges in the field of software development. The study of this research aims to determine English learning abilities of students among... | 30180 тг |
 | Отрасли экономики: Промышленность в целом Araf Akram Iraqi Stock Market Forecasting Using Artificial Neural Network. . 2017 г., 100 стр., мягкий переплет Predicting is very hard for anything particularly if a relationship between inputs and results are non-linear in characteristics and artificial neural networks are one of them. Forecasting stock data with a customary time series evaluation has shown to be intricate. Because no primary postulation about a suitable mathematical model must be made... | 29469 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Musa Abdullah Hameed Aldouri Model of Environment Representation Architecture for Intelligent Robot. Using Artificial Neural Network. 2017 г., 92 стр., мягкий переплет This book presents a model of Environment Representation Architecture for Intelligent Robot using artificial Neural Network. The model consists of a vehicle, an environment and landmarks. The proposed method is based on using Simultaneous Localization and Mapping based on Artificial Neural Network, back propagation algorithm, to be trained on... | 29185 тг |
 | Отрасли экономики: Машиностроение Salim T. Yousif and Ayad Amjad Abdul Razzak Artificial Neural Networks Modeling of Elasto-Plastic Plates. . 2017 г., 180 стр., мягкий переплет The main purpose of this study is to develop a set of neural network models to predict the structural behavior of elastoplastic plates. The research is applicable for plates subjected to uniform and concentrated loads. The objectives of the present work can be stated as follows: 1. Investigate the suitability of ANNs for application in the... | 33279 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Hossam Zaqoot,Adnan Aish and Samaher Abdeljawad Application of Artificial Neural Networks for Predicting Water Quality. . 2017 г., 88 стр., мягкий переплет In the Gaza Strip the maximum amount of the drinking water is produced through small private desalination plants. The present book is concerned with using artificial neural network (ANN) technique to forecast and predict the next week concentrations of total dissolved solids (TDS), chloride, nitrate and magnesium of the product water quality in... | 24203 тг |
 | Отрасли экономики: Энергетика и электроснабжение Hossein Soukht Saraee and Samad Jafarmadar Using Nanoparticles as a new generation of diesel fuel additives. Exprimental and numerical consideration, with the aid of artificial neural network. 2016 г., 64 стр., мягкий переплет Reduction of exhaust emission and fuel consumption is one of the most important challenges in the engine communities. One of the methods to overcome the issue is improving fuel by modification or reformulation of its composition. To this end, the experiments were conducted such that the power, emissions, and fuel consumption on a CI diesel engine... | 21414 тг |
 | Отрасли экономики: Машиностроение -> Автомобилестроение Richard Fiifi Turkson,Fuwu Yan and Mohamed Kamal Ahmed Ali Artificial Neural Network Applications in the Calibration of Engines. . 2016 г., 52 стр., мягкий переплет Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes... | 20988 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент G. V. R. Sagar Modeling of Artificial Neural Networks using Evolutionary Algorithms. Evolutionary Computations. 2016 г., 200 стр., мягкий переплет This book is designed for Electronics and Computer Science graduate, post graduate students and research scholars. This book provides different optimization algorithms for learning the Artificial Neural Network (ANN) Architecture and connection weights using Evolutionary process on feed-forward networks. Here, it is provided the mathematical model... | 40281 тг |
 | Раздел каталога: Искусство и культура Nadia Ibrahim Datamining Using Artificial Neural Networks Techniques. . 2016 г., 76 стр., мягкий переплет About the book: Educational reference in data mining Book offers "data mining" explained algorithms for those who learn data mining. We have through this book to explain the most important data mining techniques, a neural network technology, and starting with pre-treatment of the data, classification and analysis of the pairing and... | 23777 тг |
 | Отрасли экономики: Машиностроение Ganesh Kawade and Sanjay Satpute Optimization of CI Engine Performance Parameters by using ANN Software. Application of Artificial Neural Network (ANN) to check performance parameters of CI Engine that uses biodiesel as fuel. 2016 г., 120 стр., мягкий переплет The world is getting modernized and industrialized day by day, as result vehicles and engines are increasing. But energy resources used in these engines are costly and decreasing gradually. Development of cleaner alternative fuels and advanced power systems for vehicles and industries has become a high priority for many governments and Automobile... | 32599 тг |
 | Отрасли экономики: Машиностроение Matin A. Shaikh Prediction of Vibrations & Cutting force of single point cutting tool. By using Artificial Neural Network in Turning. 2016 г., 104 стр., мягкий переплет In this book the work is combination of mechanical has manufacturing & computer has networking. This two things are combined and Hybrid work is done with the help of Artificial Neural Network (ANN) in MATLAB. Artificial Neural Network is a mimicking tool of Human Brain. ANNs are relatively crude electronic models based on the neural structure... | 32031 тг |
 | Отрасли знаний: Точные науки -> Математика Gustavo Andres Cuesta Cordoba Using Artificial Neural Network to Assess Chlorine in Supply Systems. Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks. 2015 г., 148 стр., мягкий переплет A water distribution system (WDS) is based in a network of interconnected hydraulic components to transport the water directly to the customers. Water must be treated in a Water Treatment Plant (WTP) to provide safe drinking water to consumers, free from pathogenic and other undesirable organisms. The disinfection is an important aspect in... | 28755 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика Soulaima Abdelli Forecasting NO 2 concentration using artificial neural networks. . 2015 г., 116 стр., мягкий переплет This article describes a procedure for modeling the phenomenon of dispersion of the of nitrogen dioxide concentration (NO2) using the technique of multilayer perceptron (MLP). Our goal is to prove that the concentration of NO2 is an autoregressive variable explained by meteorological variables. To do this, we proceeded through three stages: in the... | 30038 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Банковская деятельность Tim-Oliver Martens Seasonal Effects on Share Indices. An analysis with artificial neural networks. 2015 г., 148 стр., мягкий переплет No one can predict stock prices. However, there are many theories which imply that recurring seasonal effects could be used to determine the direction of share indices. Many traders have already heard the stock market adage: “Sell in May and go away, but remember to come back in September”. What is with this adage really about, and are there... | 24883 тг |
 | Отрасли экономики: Машиностроение Sumit Roy,Ajoy Kumar Das and Probir Kumar Bose Application of Artificial Intelligence on a CRDI Diesel Engine. An Artificial Neural Network Approach. 2015 г., 56 стр., мягкий переплет The present study explores the potential of artificial neural network to predict the performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine under varying CNG and EGR strategies. Based on the experimental data an ANN model is developed to predict performance and emission parameters of the experimental engine. The... | 23066 тг |
 | Отрасли знаний: Естественные науки -> Биология Watinee Thavorntam and Netnapid Tantemsapya Estimation of Gross Primary Production using Data mining approach. The application in Northeast Thailand using an Artificial Neural Networks method. 2015 г., 76 стр., мягкий переплет The purpose of this book is to improve our understanding of the role of terrestrial vegetation in carbon cycle and its variation under climate variability. A combination between meteorological and remote sensing data using various techniques and software were employed to identify and forecast change in Gross Primary Production (GPP). The... | 21841 тг |
 | Отрасли экономики: Промышленность в целом Sulafa Hag Elsafi Artificial Neural Networks (ANNs) and GIS for flood forecasting. . 2015 г., 164 стр., мягкий переплет Forecasting techniques vary considerably, and there are many unusual problems that require special solution. Flood forecasting is an expanding area of application of hydro-logic techniques. Artificial Neural Network (ANN) is a system that can solve kinds of real-world problems. This book shows ANNs capability in flood modeling, to extract the... | 42391 тг |
 | Отрасли знаний: Естественные науки -> Экология Emrah Demircan Modeling the Properties of Construction Materials. Modeling the Properties of Construction Materials Using Artificial Neural Network (ANN) and Nonlinear Relation Methods. 2015 г., 152 стр., мягкий переплет Advances in technology and environmental considerations require the construction industry to use more and more engineered high performance materials. In this study, mechanical properties of high volume fly ash (HVFA) concrete mixes were investigated for the Leadership in Energy and Environmental Design (LEED). Five HVFA concrete mixes containing... | 37125 тг |
 | Отрасли экономики: Машиностроение Ihsan A. Baqer,Somer M. Nacy and Mauwafak A. Tawfik Modeling of 3D Grasping of Artificial Hand Under Dynamic Load. A Novel Approach to Control the Robotic Hand Grasping Process by Using Artificial Neural Network Algorithm. 2015 г., 228 стр., мягкий переплет In this book, a novel design of fingertip to detect slipping of the grasped object under dynamic load conditions was proposed to measure the normal and tangential contact force components. The proposed design was treated with conventional sensors and has the ability to optimize the design of the contact region without the need to change the... | 53376 тг |
 | Отрасли экономики: Промышленность в целом Faiq M. Sarhan Alzwainy,Rafa H. Al-Suhaily and Zuhair M. Saco Project Management and Artificial Neural Networks. Fundamental and Application. 2015 г., 288 стр., мягкий переплет The application of ANN systems is growing rapidly in the financial and manufacturing sectors. Neural network systems offer several advantages over traditional methods for the prediction of construction projects' cost and duration. Therefore, a neural network that can help project estimators to decide the preliminary cost of a highway construction... | 35664 тг |
 | Отрасли знаний: Науки о Земле Mohammad Ebrahim Banihabib,Azar Arabi,Ali A. Salha and Ali Rahimikhoob Artificial Neural Network Model of Maximum Temperature Using NOAA data. . 2014 г., 92 стр., мягкий переплет The main objective of this book and its case study is to present artificial neural networks (ANNs) model using National Oceanic and Atmospheric Administration (NOAA) satellite data to estimate maximum daily air temperature. The proposed model applied in Lake Urmia basin, Iran. The book will take us step by step on how ANNs were used as a new... | 29185 тг |
 | Раздел каталога: Искусство и культура -> Музыка -> Музыкальное образование Pranay Prasoon and Soubhik Chakraborty Raga Analysis Using Artificial Neural Network. . 2014 г., 72 стр., мягкий переплет Because music conveys and evokes feelings, a wealth of research has been performed on music emotion recognition. Research has shown that musical mood is linked to features based on rhythm, timbre, melody and lyrics. For example, sad music correlates with slow tempo while happy music is generally faster. We see only limited success has been... | 23635 тг |
 | Отрасли знаний: Общественные науки -> Экономика Sonia Gul Artificial Neural Networks for Modeling TWTAs in Satellites. . 2014 г., 204 стр., мягкий переплет Advances in satellite technology have made it possible to use satellites to provide efficient and reliable communication to users across a wide geographical area. Modern communications satellites typically amplify many frequency carriers in a single amplifier. A study of satellite communication technologies and neural networks is made to... | 43812 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Muhammad Atta Othman A. Khfagy Artificial Neural Networks Applied For Digital Images with Matlab Code. The Applications of Artificial Intelligence In Image Processing Field Using Matlab. 2014 г., 152 стр., мягкий переплет Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer... | 34220 тг |
 | Отрасли знаний: Естественные науки -> Химия Kriti S. Saxena Optimization of Potable Water Treatment Technologies. Recycling of Alum Sludge & Use of Artificial Neural Network Models for Coagulant Dose Control. 2014 г., 148 стр., мягкий переплет Water Treatment Plants can be considered as the industries producing potable water & the sludge generated after coagulation-flocculation process is a type of waste effluent which is generally discharged into surface water without proper treatment causing Water Pollution. Aluminium salts are extensively used as a coagulant in water treatment... | 36982 тг |
 | Отрасли экономики: Промышленность в целом Nicolus Rotich Wind resource assessment and forecast with artificial neural networks. Fundamentals from Ab-initio. 2014 г., 96 стр., мягкий переплет The basics of artificial neural networks (ANN), applications, and implementation, are examined. The book targets multidisciplinary audience and explains the principles of neural networks in the simplest terminology. With the advent of computer software platforms in the market, no previous high level mathematical skills are required to implement an... | 31747 тг |
 | Отрасли знаний: Медицина Mark Rossman Automated Detection of Hematological Patterns Through Machine Learning. Using Feature Extraction And Artificial Neural Networks for Pattern Recognition. 2014 г., 128 стр., мягкий переплет The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to... | 25624 тг |
 | Отрасли экономики: Машиностроение Amirhossein Mahlouji and Pezhman Taherei Ghazvinei Open-End Yarn; Breaking Strength Model. Comparative Approach by Regression and Artificial Neural Network. 2014 г., 92 стр., мягкий переплет Modelling the relationship between key parameters of textile products and machine setting parameters has been recently highlighted by a number of scholars for better prediction of products’ quality characteristics. Samples were woven for analyzing the characteristics of cotton yarn with different strength, elongation, NEP, thickness, thinness,... | 34025 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика C. Kiruthika Artificial Neural Network Approach To Certain Classification Problems. . 2014 г., 104 стр., мягкий переплет This book focuses on Artificial Neural Network (ANN) based statistical clustering technique to group the objects and improve the classification methodology. The self-organizing principle and the neighbourhood concept of ANN in Kohonen’s Self-Organizing Map (SOM) are used develop a new statistical clustering technique. The proposed clustering... | 32031 тг |
 | Отрасли экономики: Промышленность в целом Suresh Jagirdar Artificial Neural Networks, A Modern Era In Computing. . 2014 г., 84 стр., мягкий переплет Artificial neural networks belong to the field of cognitive sciences which pertains to the study and applicability of the adaptive nature of human brain in solving real world problems. The architecture of a neural network system is built on a learning algorithm which can learn and adapt to input data parameters. They can be classified as nonlinear... | 24061 тг |
 | Отрасли экономики: Энергетика и электроснабжение Natalia Gotman,Galina Shumilova and Tatiana Starceva Electric load forecasting using an artificial neural networks. Methods and solutions. 2014 г., 100 стр., мягкий переплет Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day – operating... | 21242 тг |
 | Отрасли экономики: Промышленность в целом Adel El Shahat Artificial Neural Network (ANN). Smart & Energy Systems Applications. 2014 г., 192 стр., мягкий переплет This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural... | 47257 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика Sanyogita Andriyas Data mining for performance of vegetative filter strips. A comparison between prediction models : artificial neural networks (back propagation & radial basis function) vs. GRAPH. 2013 г., 216 стр., мягкий переплет The vegetative filter strips (VFS) are a best management practice. For quantifying the movement & amount of sediments & nutrients, the performance of VFS has to be modeled. Data available from the literature & recent experiments were used. Artificial runoff was created. Flow samples were analysed for concentrations for total suspended... | 46658 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Mais Mohammed Hobi and Sarab Majeed Hameed Biometrics for User Authentication Using Artificial Neural Networks. Keystroke Dynamics for User Authentication. 2013 г., 108 стр., мягкий переплет Computer systems and networks are being used in almost every aspect of our daily life, the security threats to computers and networks have increased significantly. Usually, password-based user authentication is used to authenticate the legitimate user. However, this method has many gaps such as password sharing, brute force attack, dictionary... | 32173 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Jitendra Sinha,Avinash Agarwal and R. K. Sahu River Flow Modelling Using Artificial Neural Network. A Case Study Of Upper Kharun Catchment In Chhattisgarh, India. 2013 г., 168 стр., мягкий переплет Water is vital for life and the initial step in its management is to quantify the runoff produced in the catchment area due to rainfall. For stream flow measurement gauging of catchment is done. Because of the high cost involved in the setting up and maintenance of gauging stations, it is not possible to set up and maintain the stations over many... | 42533 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика Juli Majumder and Rumana Rois An Application of Artificial Neural Network Model in GDP Forecasting. A comparative study of different forecasting model. 2013 г., 100 стр., мягкий переплет In recent year, the concern in forecasting of economy and modeling of macroeconomic structure is increasing because of frequent economic crisis. This book explores how a researcher can use statistical forecasting model especially Artificial Neural Network (ANN) model in forecasting performance and modeling the macroeconomic indicator like GDP.... | 29469 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика Shashank Singh and Rangavajhala Subbaiah Stochastic Disaggregation Modelling of Rainfall series. Application of Artificial Neural Network to Disaggregation of Rainfall Time Series. 2013 г., 140 стр., мягкий переплет Meteorological models generate fields of precipitation and other climatological variables as spatial averages at the scale of the grid used for numerical solution. The grid-scale can be large, particularly for general circulation models and disaggregation is required. Disaggregation models were introduced in hydrology by the pioneering work of... | 36698 тг |
 | Отрасли экономики: Промышленность в целом Philip Adewuyi Demand-Side Management Analysis Using Artificial Neural Network. . 2013 г., 72 стр., мягкий переплет This book presents a new approach to analytically find a better way to reducing peak demand loads. A typical university campus loads are considered and artificial neural network is used in the training of the original university data to design a controller which helps reschedule loads based on the period of occupancy of each building on campus.... | 23635 тг |
 | Отрасли знаний: Естественные науки -> Физика -> Ядерная физика Gholam Hossein Roshani,Farzin Shama and Seyed Amir Hossein Feghhi Some Applications of Artificial Neural Network in Nuclear Engineering. . 2013 г., 84 стр., мягкий переплет In this book some applications of artificial neural network in nuclear engineering are presented. In densitometry, number of scattered and counted gamma photons highly depends on material density. Using this relation, two different multi-layer perceptron artificial neural networks are proposed to predict material density. The results of proposed... | 24061 тг |
 | Отрасли экономики: Промышленность в целом Vinita Dutt Sunderiyal and Ajit Kumar Singh Yadav Handwritten Character Recognition Using Artificial Neural Network. System for handwritten character recognition, bring out accurate results even for noisy image. 2013 г., 140 стр., мягкий переплет A Neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest: The network is usually implemented by using electronic components or is simulated in software on a digital computer. “ A neural network is a massively parallel distributed processor made up of simple processing... | 33794 тг |
 | Отрасли экономики: Промышленность в целом Zhazar Toktabolat Using Artificial Neural Networks in Reservoir Characterization. Characterization of Dual Porosity Gas Reservoirs with Faults Using Artificial Neural Networks. 2013 г., 144 стр., мягкий переплет The framework of this study is to convert observed measurements of reservoir data into characteristic information of the reservoir. Artificial neural network (ANN) technology is utilized in mapping/interpolating the non-linear complex relationship between observed measurements and reservoir characteristics. The proposed ANN methodology is applied... | 39744 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Hussein M. Khattab,Almoataz Y. Abdelaziz and Said F. Mekhamer Innovative Approaches for Power System Security Assessment. Artificial Neural Networks, Gene Expression Programming and Simulated Annealing. 2013 г., 224 стр., мягкий переплет Power systems security assessment and enhancement is of utmost importance as a result of power systems expansions and operation near their security limits. In this book, the assessment of power system static and transient securities is presented. Different IEEE test systems are subjected to static and transient security classification when prone... | 47958 тг |
 | Отрасли экономики: Промышленность в целом Jayanta Kumar Basu and Monal Dutta Application of Artificial Neural Network for Ibuprofen Adsorption. . 2013 г., 52 стр., мягкий переплет This discussion offers a systematic approach to predict the adsorption characteristics of a pharmaceutical pollutant, ibuprofen through artificial neural network. The artificial neural network is inspired by biological nervous system. Artificial neural networks are being extensively used for predicting the rate of adsorption of an adsorbent in... | 27329 тг |
 | Отрасли экономики: Машиностроение Mohammad Bataineh Artificial neural network for studying human performance. . 2013 г., 184 стр., мягкий переплет The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for... | 41213 тг |
 | Отрасли знаний: Общественные науки -> Юриспруденция Boran Sekeroglu and G?ls?m Y?ld?z As?ksoy Diagnosis Of Epilepsy Disorders Using Artificial Neural Networks. An Intelligent Automated System That can Diagnosis Of Epilepsy Disorders Using Artificial Neural Networks. 2013 г., 96 стр., мягкий переплет Artificial Neural networks have been provided an effective approach for EEG signals because of its self-adaption and natural way to organize. Artificial intelligence system based on the qualitative diagnostic criteria and decision rules of human expert could be useful as the clinical decision supporting tool for the localization of epileptogenic... | 28892 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Nazmun Nessa Moon and . Fernaz Narin Nur Size Independent Bangla Character Recognition System. Using Artificial Neural Network. 2013 г., 64 стр., мягкий переплет The character recognition process is implemented in the two stages. They are learning stage and testing stage. In learning stage, the following steps are considered. These are Scanned Character by scanner, Pre-processing, Feature Extraction, Training and a set of processed character. At first, the character to be recognized is scanned through a... | 27755 тг |