| Поиск по каталогу |
|
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Artificial Neural Networks. Using Artificial Neural Networks to Model the Production of Biosurfactants by Candida Lipolytica
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Mirthys Melo
ISBN: 9786207688319
Год издания: 2024
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 64
Издательство: Our Knowledge Publishing
Цена: 33050 тг
Положить в корзину
Ожидает определения тематики
Код товара: 885854
| 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: Artificial Neural Networks represent a computational paradigm used in the development of intelligent systems. They are currently being used in various areas of human knowledge, particularly in areas where traditional computer systems do not allow for the development of systems that meet expectations, such as voice and image recognition. Another area where ANNs offer great modelling possibilities is complex behavioural phenomena. In this work, the production of biosurfactant by Candida lipolytica was modelled, given that biosurfactants have been used to replace artificial surfactants with impactful advantages for people's health and well-being, and are an essential element in the chemical and food industries.
Ключевые слова: Artificial Neural Networks, Modelling, Environmental Processes
Похожие издания
 | Rodrigo Lanzoni Fracarolli APPLICATION OF ARTIFICIAL NEURAL NETWORKS:. A proposal for obtaining the traffic pulse. 2021 г., 76 стр., мягкий переплет The way in which human civilization faced its barriers of displacement in space caused, as a consequence, a series of problems that generate some complications in contemporary life. The prioritization of the individual motorized mode saturates the city streets, causing traffic jams, accidents and decline in the quality of life. Measures adopted to... | 25550 тг |
 | Felipe Farage David Use of Artificial Neural Networks in Steelmaking Oxygen Converters. Prediction of the end of blow and the final carbon content of liquid steel.. 2020 г., 60 стр., мягкий переплет Decarburization is the most important reaction in the primary refining process via Oxygen Converter, since it can govern the productivity of an entire melt shop. Thus, the control of the main variables of this process such as the end time of oxygen blowing and the final carbon content of the bath is of utmost importance. For that, this book deals... | 18111 тг |
 | Abdou Aziz Cissé and Mamadou Salif Diallo Predicting the output of a PV plant. Application of artificial neural networks. 2021 г., 64 стр., мягкий переплет Energy market players (investors, power producers, grid operators, consumers, etc.) are facing potential challenges such as the growing demand for energy, new patterns of energy consumption, the integration of (intermittent) renewable energy sources into power grids and the evolution of power grids.This book investigates the possibility of... | 25124 тг |
 | Simone Silva Frutuoso de Souza IMAGE AND SOUND PATTERN RECOGNITION. AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS. 2023 г., 148 стр., мягкий переплет This book aims to study the main concepts and architectures of artificial neural networks, as well as the computational simulation of the methods, subsequently developing a study based on the application of pattern recognition techniques, in this specific case we use image and sound recognition. Thus, the scope of the research plan is to implement... | 43431 тг |
 | Shahide Dehghan,Hoosein Norouzi and Hossein Gholami Artificial neural networks in underground infrastructure management.. 2024 г., 64 стр., мягкий переплет Due to the decrease in rainfall and drought in the last decade and as a result of the lack of water in a wide area of the country, groundwater management is very important and sensitive. In order to apply a correct management, the need to identify and model and predict the fluctuations of the water table in the plains for long-term planning and... | 27237 тг |
 | Fernando Parra dos Anjos Lima and Simone Silva Frutuoso de Souza SOUND AND IMAGE PATTERN RECOGNITION. AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS. 2023 г., 128 стр., мягкий переплет This book presents a study based on the concepts and artificial neural architectures and their applications in general, and specifically pattern recognition. The Borland Delphi 7 platform and programming language is used to implement two systems, one for image recognition and the other for sound recognition. The Borland Delphi programming language... | 42721 тг |
 | Amal Benali Simulation using artificial neural networks in geotechnical engineering.. 2023 г., 52 стр., мягкий переплет With the rapid technological and industrial development that the world has seen, particularly in construction technology with these huge oil platforms in the depths of the ocean or desert. This requires an adequate load-bearing structural system, capable of distributing forces from one level to another until they reach the foot of the structure,... | 20998 тг |
 | Mohamed Khala,Houda Abouzid and Sara Teidej Global Solar Radiation Prediction. Using Artificial Neural NetworksCase study: the city of Er-Rachidia, Morocco. 2021 г., 92 стр., мягкий переплет This book aims to develop a new RSG preversion model based on deep learning. This approach will be able to boost the prediction accuracy of RSG data. Subsequently, the present proposed algorithm effectively handles the dynamics of our targeted weather component by integrating a recurrent and dynamic model named LSTM neural network with an... | 34044 тг |
 | Messaoud Djeddou Prediction of failure rate by artificial neural networks. In a wastewater treatment plant. 2022 г., 196 стр., мягкий переплет The performance of treatment processes is generally influenced by many factors such as qualitative and quantitative changes in the wastewater and the inherent variability of the treatment process. Algerian legislation has established quality criteria for treated and discharged water, so it should be possible to assess process performance and plant... | 46721 тг |
 | Vinicius Bandeira,RAMON MAYOR MARTINS and Elen Macedo Lobato Reducing the number of EEG sensors and motor motion detection. Through Artificial Neural Networks. 2022 г., 52 стр., мягкий переплет In recent years the studies in artificial intelligence and machine learning have been very widespread and therefore it is already common to see in many places pattern recognition algorithms being used, whether in an advertisement that you receive from a store, a chatbot that learns from mistakes made or in autonomous cars Google and Tesla. This... | 24697 тг |
 | Rodes A.B.daSilva Intelligent systems and their role in agriculture. Sensor application, IoT, automation, artificial intelligence, artificial neural networks, experimentation ON FARM. 2024 г., 60 стр., мягкий переплет Nowadays, given the huge demands for food and the search for better productivity, sustainability and more assertive decision-making, many tools are being developed to improve agricultural production.In this context, the progress of information technology, which over the years has acquired a strategic and political character for Brazil and the... | 27094 тг |
 | 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... | 43005 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... | 26952 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... | 43147 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... | 49813 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... | 27947 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... | 24697 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... | 24982 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... | 24982 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... | 25266 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... | 24982 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... | 24840 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... | 18396 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... | 46295 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Jiri Holoska and Zuzana Kominkova Oplatkova Steganalysis by means of Artificial Neural Networks. Steganography detection in JPEG files by means of Artifical Neural Networks using Huffman coding. 2012 г., 132 стр., мягкий переплет This book is focused on the revealing of hidden information present in multimedia files, mainly in pictures. This hidden information (messages) is coded in by means of steganography, which is an additional method of cryptography. Steganography provides better security for messages and the detection of such a message is not easy. The main goal of... | 37632 тг |
 | Отрасли экономики: Агропромышленный комплекс -> Растениеводство -> Садоводство Parameshwar Shirgure and G. S. Rajput Evaporation modeling using Artificial neural networks. A General Model for India. 2012 г., 328 стр., мягкий переплет The investigation was carried out to develop and test the daily pan evaporation prediction models using various weather parameters as input variables with artificial neural network (ANN) and validated with the independent subset of data for five different locations in India. The measured variables included daily observations of maximum and minimum... | 55162 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Stefano Scanzio Speeding-up Artificial Neural Networks. A Speech Recognition example. 2012 г., 104 стр., мягкий переплет Classifiers are becoming an important component of today software. The capability of automatic learning from examples is essential in tasks where classification rules are not easily obtainable. Artificial Neural Networks, the main argument of this book, are an important example of classifiers for their versatility and recognition accuracy. To... | 31353 тг |
 | Отрасли знаний: Естественные науки -> Экология Ali Papzan,Taksiah A. Majid and Megat Azmi Megat Johari Forecasting the Compressive Strength of SCC by ANNs. The Application of Artificial Neural Networks to Predict the Compressive Strength of Self-Compacting Concretes. 2012 г., 180 стр., мягкий переплет The book is subdivided into five chapters. Each chapter is briefly described as follows: Chapter 1 gives a general background of the subject matter and serves as an introductory chapter. It incorporates the background of the study, problem statement, objectives of the research and a brief on the outline. Chapter 2 comprises of information... | 44092 тг |
 | Отрасли экономики: Промышленность в целом Jagannath Singh and Bibhudatta Sahoo Software Effort Estimation Using Artificial Neural Networks. A performance analysis of different ANNs. 2012 г., 84 стр., мягкий переплет Continuous changing scenarios of software development technology make effort estimation more challenging. Some of the difficulties of estimation arise from the complexity and invisibility of software. Software development is intensively human activity and can’t be free from error. Ability of ANN(Artificial Neural Network) to model a complex... | 30642 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Khaled Nagati Contribution To The Solution Of Fingerprint Identification Problem. Fingerprints Classification and Identification: A Statistical, Structural and Artificial Neural Networks Approach. 2012 г., 184 стр., мягкий переплет A fingerprint is the feature pattern of one finger. It is believed with strong evidence that each fingerprint is unique. Each person has his own fingerprints with the permanent uniqueness. So fingerprints have being used for identification and forensic investigation for a long time. This book explores new approaches for designing the various... | 44234 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Justice Emuoyibofarhe Solution of an optimal control problem using neural networks. Artificial Neural Networks for Process Control. 2012 г., 208 стр., мягкий переплет In spite of continuing advances in optimal solution techniques for optimization and control problems, many practical combinatorial problems remain too large or too complex to be solved by these known techniques. Thus, a heuristic approach (Neural Network Model) is often the only viable alternative. Neural Network Models offer the most unified... | 45087 тг |
 | Отрасли знаний: Точные науки -> Математика Dinesh Bisht Artificial Neural Networks. In River Stage-Discharge Modeling. 2012 г., 96 стр., мягкий переплет Management of water resources is one of the most challenging and interesting problems for the survival of the life. The demand of water is increasing in a tremendous way whereas the availability of water remains practically constant; therefore it becomes very important to study the hydrological system in a proper way. Forecasting of hydrological... | 31069 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Amudapuram Mohan Rao and B.K. Durai Travel Mode Choice Modeling Using Artificial Neural Networks (ANN). Mode Choice Modeling for Medium Cities. 2012 г., 84 стр., мягкий переплет Mode choice modeling is the most important element of transportation planning as it affects the general efficiency of travel and the allocation of resources. It is the third step in the conventional four-step transportation forecasting model The analysis of mode choice using conventional techniques is tedious process, the latest techniques like... | 30642 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Md. Rabiul Islam and M. Abdul Goffar Khan Retina Recognition: Secure Biometric Authentication System. An Approach to Implement the Eye Recognition System using Artificial Neural Networks. 2012 г., 72 стр., мягкий переплет This book focuses automated retina recognition system as a biometrically based technology for personal identification and verification. This book is concerned with the retina recognition by neural network. The motivation for this endeavor stems from the observation that the human retina provides a particularly interesting structure on which to... | 30216 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Satish Gummadi Identification of load dynamics using artificial neural networks. Intelligent Control. 2012 г., 68 стр., мягкий переплет It is expected that neural network can make the computer intelligent. The cognitive tasks easily done by the animals can be possible by the neural network computing. Neural network is a different kind of computing where learning and adaptation are possible in the computer program. There are different appoaches for intelligence and neural network... | 30074 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... | 25124 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... | 31544 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... | 31686 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... | 22868 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... | 32397 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... | 35585 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... | 25976 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... | 43164 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... | 25550 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... | 32254 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... | 26522 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... | 23436 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... | 45585 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... | 37835 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... | 47006 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... | 36704 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... | 34186 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... | 27397 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... | 25834 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... | 22703 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... | 50074 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... | 34613 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... | 42760 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... | 51468 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... | 31069 тг |