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Neural Computing An Introduction


Neural Computing An Introduction
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Neural Computing An Introduction


Neural Computing An Introduction
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Author : R Beale
language : en
Publisher: CRC Press
Release Date : 1990-01-01

Neural Computing An Introduction written by R Beale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01-01 with Mathematics categories.


Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.



Neural Computing


Neural Computing
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Author : Russell Beale
language : en
Publisher:
Release Date : 1990

Neural Computing written by Russell Beale and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.




Introduction To Neural Computing


Introduction To Neural Computing
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Author : Igor Aleksander
language : en
Publisher:
Release Date : 1995

Introduction To Neural Computing written by Igor Aleksander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.


This easy-to-read account of neural networks introduces the central ideas involved in neural networks. It includes new material on recent developments in neural networks, such as neurocontrol, pattern analysis, updated material on multi-layer perceptrons and dynamic systems. And it is accessible to readers not familiar with formal mathematical languages.



Intro To Neutral Computing


Intro To Neutral Computing
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Author : Igor Aleksander
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1990-07-01

Intro To Neutral Computing written by Igor Aleksander and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-07-01 with categories.




Neural Networks


Neural Networks
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Author : Raul Rojas
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-07-12

Neural Networks written by Raul Rojas 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 1996-07-12 with Computers categories.


Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.



An Introduction To Neural Computing


An Introduction To Neural Computing
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Author : Igor Aleksander
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1990

An Introduction To Neural Computing written by Igor Aleksander and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.


The second edition of this text has been updated and includes material on new developments including neurocontrol, pattern analysis and dynamic systems. The book should be useful for undergraduate students of neural networks.



Introduction To Neural Computing An


Introduction To Neural Computing An
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Author : I. Aleksander
language : it
Publisher:
Release Date :

Introduction To Neural Computing An written by I. Aleksander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




An Information Theoretic Approach To Neural Computing


An Information Theoretic Approach To Neural Computing
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Author : Gustavo Deco
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

An Information Theoretic Approach To Neural Computing written by Gustavo Deco 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 2012-12-06 with Computers categories.


Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular they show how these methods may be applied to the topics of supervised and unsupervised learning including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from several different scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this to be a very valuable introduction to this topic.



An Introduction To Neural Networks


An Introduction To Neural Networks
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Author : Kevin Gurney
language : en
Publisher: CRC Press
Release Date : 1997-08-05

An Introduction To Neural Networks written by Kevin Gurney and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-05 with Computers categories.


Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.



Neural Networks


Neural Networks
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Author : Berndt Müller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Neural Networks written by Berndt Müller 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 2012-12-06 with Computers categories.


Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.