Neural Network Systems Techniques And Applications
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Neural Network Systems Techniques And Applications
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Author : Cornelius T. Leondes
language : en
Publisher:
Release Date : 1998
Neural Network Systems Techniques And Applications written by Cornelius T. Leondes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Neural networks (Computer science) categories.
Neural Network Systems Techniques And Applications
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Author :
language : en
Publisher: Academic Press
Release Date : 1998-02-09
Neural Network Systems Techniques And Applications written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-02-09 with Computers categories.
The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques. Coverage includes: Orthogonal Activation Function Based Neural Network System Architecture (OAFNN) Multilayer recurrent neural networks for synthesizing and implementing real-time linear control Adaptive control of unknown nonlinear dynamical systems Optimal Tracking Neural Controller techniques Consideration of unified approximation theory and applications Techniques for determining multivariable nonlinear model structures for dynamic systems, with a detailed treatment of relevant system model input determination
Neural Network Systems Techniques And Applications Seven Volume Set
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Author : Cornelius T. Leondes
language : en
Publisher: Academic Press
Release Date : 1998-02-11
Neural Network Systems Techniques And Applications Seven Volume Set written by Cornelius T. Leondes and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-02-11 with Computers categories.
Artificial neural networks have been widely applied to many fields--such as pattern recognition, optimization, coding, and control--due to their capability of solving cumbersome or intractable problems by learning directly from data. Neural networks adapt to new environments and deal with information that is noisy, inconsistent, vague, or probabilistic. These features have motivated extensive research and developments in artificial neural networks. A unique and comprehensive reference, this Series covers the different techniques, applications, and systems of artificial neural networks. It will be a valuable and powerful resource for a wide array of practitioners, researchers, and students, including those in the fields of industrial, manufacturing, electrical, and mechanical engineering, as well as computer science and engineering.
Neural Networks In Business
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Author : Kate A. Smith
language : en
Publisher: IGI Global
Release Date : 2003-01-01
Neural Networks In Business written by Kate A. Smith and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.
"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."
Application Of Signal Processing Tools And Artificial Neural Network In Diagnosis Of Power System Faults
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Author : Nabamita Banerjee Roy
language : en
Publisher: CRC Press
Release Date : 2021-07-21
Application Of Signal Processing Tools And Artificial Neural Network In Diagnosis Of Power System Faults written by Nabamita Banerjee Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Technology & Engineering categories.
Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using Wavelet Transform and S-Transform
Control And Dynamic Systems
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Author : Cornelius T. Leondes
language : en
Publisher:
Release Date : 1998
Control And Dynamic Systems written by Cornelius T. Leondes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques. Key Features Coverage includes: * Orthogonal Activation Function Based Neural Network System Architecture (OAFNN) * Multilayer recurrent neural networks for synthesizing and implementing real-time linear control * Adaptive control of unknown nonlinear dynamical systems * Optimal Tracking Neural Controller techniques * Consideration of unified approximation theory and applications * Techniques for determining multivariable nonlinear model structures for dynamic systems, with a detailed treatment of relevant system model input determination
Neural Networks
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Author : James A. Freeman
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1991
Neural Networks written by James A. Freeman and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Computing Methodologies -- Artificial Intelligence.
Knowledge Based Systems And Neural Networks
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Author : Ramesh Sharda
language : en
Publisher: Elsevier Publishing Company
Release Date : 1991
Knowledge Based Systems And Neural Networks written by Ramesh Sharda and has been published by Elsevier Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
With countless applications, knowledge-based systems are undergoing an explosive rate of growth. Thousands of organizations in business, government and military are using these systems. Neural networks, though newer, are experiencing the same kind of growth and are assuredly not lagging far behind. This book presents recent advances in techniques and applications implemented in both knowledge-based systems and neural networks. The book will be of particular interest to researchers and practitioners working on and with artificial intelligence.
Methods And Procedures For The Verification And Validation Of Artificial Neural Networks
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Author : Brian J. Taylor
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-20
Methods And Procedures For The Verification And Validation Of Artificial Neural Networks written by Brian J. Taylor and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-20 with Computers categories.
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
Handbook Of Neural Computing Applications
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Author : Alianna J. Maren
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Handbook Of Neural Computing Applications written by Alianna J. Maren and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Computers categories.
Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.