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Neural networks:algorithms and applications
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Neural networks:algorithms and applications

紀錄類型 : 書目-語言資料,印刷品: 單行本

副題名 : algorithms and applications

作者 : Ananda RaoM.,

其他作者 : SrinivasJ.,

出版地 : Pangbourne, England

出版者 : Alpha Science International;

出版年 : c2003

面頁冊數 : xi, 239 p.ill. : 25 cm;

標題 : Neural networks (Computer science) -

附註 : "This textbook provides a comprehensive introduction to the use of neural networks in mechanical engineering applications. Beginning with an overview of different neural network topologies in the first two parts, functioning of human brain is explained as an analogy with artificial models. Unsupervised models like Hopfield, Bi-directional Associative Memory, Fuzzy Associative Memory, Adaptive Resonance Theory, Kohonen as well as supervised architectures like Multi-Layer Perceptron, Counter Propagation Networks and Radial Basis Function Networks are presented in detail with numerical examples."--BOOK JACKET

ISBN : 1842651315

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210 $aPangbourne, England$dc2003$cAlpha Science International

215 1 $axi, 239 p.$cill.$d25 cm

300 $a"This textbook provides a comprehensive introduction to the use of neural networks in mechanical engineering applications. Beginning with an overview of different neural network topologies in the first two parts, functioning of human brain is explained as an analogy with artificial models. Unsupervised models like Hopfield, Bi-directional Associative Memory, Fuzzy Associative Memory, Adaptive Resonance Theory, Kohonen as well as supervised architectures like Multi-Layer Perceptron, Counter Propagation Networks and Radial Basis Function Networks are presented in detail with numerical examples."--BOOK JACKET

320 $aIncludes bibliographical references and index

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Ananda Rao, M.

Neural networks : algorithms and applications / M. Ananda Rao, J. Srinivas - Pangbourne, England : Alpha Science International, c2003. - xi, 239 p. ; ill. ; 25 cm.
"This textbook provides a comprehensive introduction to the use of neural networks in mechanical engineering applications. Beginning with an overview of different neural network topologies in the first two parts, functioning of human brain is explained as an analogy with artificial models. Unsupervised models like Hopfield, Bi-directional Associative Memory, Fuzzy Associative Memory, Adaptive Resonance Theory, Kohonen as well as supervised architectures like Multi-Layer Perceptron, Counter Propagation Networks and Radial Basis Function Networks are presented in detail with numerical examples."--BOOK JACKET.
Includes bibliographical references and index.
ISBN 1842651315
Neural networks (Computer science)

Srinivas, J.
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