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Artificial neural network implementation in machining & manufacturing. Temperature influence in cutting zone during machining process
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Obrad Ani?i?
ISBN: 9786204719191
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 60
Издательство: LAP LAMBERT Academic Publishing
Цена: 23208 тг
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Аннотация: 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 could affect the forms of chip shapes and surface roughness as well. Surface roughness could be considered as the most important indicator for the machining process quality. Since many machining parameters could be changed in order to obtain optimal machining condition in this study the main aim was to determine the most important parameters of the process. Neuro-fuzzy approach was applied since it is highly suitable approach for the nonlinear system with many different parameters. It is found that spot temperature is more influential than maximal temperature during the machining process.
Ключевые слова: chip forms, machining parameters, Temperature, surface roughness, Neuro-Fuzzy
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 | 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 |