Neural Network Systems Techniques and Applications

This book PDF is perfect for those who love Computers genre, written by Anonim and published by Academic Press which was released on 09 February 1998 with total hardcover pages 438. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Neural Network Systems Techniques and Applications books below.

Neural Network Systems Techniques and Applications
Author : Anonim
File Size : 50,7 Mb
Publisher : Academic Press
Language : English
Release Date : 09 February 1998
ISBN : 0080553907
Pages : 438 pages
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Neural Network Systems Techniques and Applications by Anonim Book PDF Summary

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

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

Get Book
Neural Networks Applications

This volume builds on and continues the excellent coverage of the subject established in the first volume with a special focus on cutting-edge applications. This book provides practicing engineers with a snapshot of the latest applications, supported by the most recent developments in neural networks theory and technology. You'll find

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Neural Network Systems  Techniques  and Applications

Download or read online Neural Network Systems Techniques and Applications written by Cornelius T. Leondes, published by Unknown which was released on 1998. Get Neural Network Systems Techniques and Applications Books now! Available in PDF, ePub and Kindle.

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Neural Networks in Business

"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

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Applications of Neural Networks

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas

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Neural Network Applications in Control

The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the

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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

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Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear

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