Hebbian Learning and Negative Feedback Networks
Author:   Colin Fyfe
Publisher:   Springer London Ltd
Edition:   Softcover reprint of hardcover 1st ed. 2005
ISBN:  

9781849969451


Pages:   383
Publication Date:   22 October 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Hebbian Learning and Negative Feedback Networks


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Full Product Details

Author:   Colin Fyfe
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of hardcover 1st ed. 2005
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.617kg
ISBN:  

9781849969451


ISBN 10:   1849969450
Pages:   383
Publication Date:   22 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Single Stream Networks.- Background.- The Negative Feedback Network.- Peer-Inhibitory Neurons.- Multiple Cause Data.- Exploratory Data Analysis.- Topology Preserving Maps.- Maximum Likelihood Hebbian Learning.- Dual Stream Networks.- Two Neural Networks for Canonical Correlation Analysis.- Alternative Derivations of CCA Networks.- Kernel and Nonlinear Correlations.- Exploratory Correlation Analysis.- Multicollinearity and Partial Least Squares.- Twinned Principal Curves.- The Future.

Reviews

From the reviews of the first edition: This book is concerned with developing unsupervised learning procedures and building self organizing network modules that can capture regularities of the environment. ... the book provides a detailed introduction to Hebbian learning and negative feedback neural networks and is suitable for self-study or instruction in an introductory course. (Nicolae S. Mera, Zentralblatt MATH, Vol. 1069, 2005)


From the reviews of the first edition: This book is concerned with developing unsupervised learning procedures and building self organizing network modules that can capture regularities of the environment. ! the book provides a detailed introduction to Hebbian learning and negative feedback neural networks and is suitable for self-study or instruction in an introductory course. (Nicolae S. Mera, Zentralblatt MATH, Vol. 1069, 2005)


"From the reviews of the first edition: ""This book is concerned with developing unsupervised learning procedures and building self organizing network modules that can capture regularities of the environment. ! the book provides a detailed introduction to Hebbian learning and negative feedback neural networks and is suitable for self-study or instruction in an introductory course."" (Nicolae S. Mera, Zentralblatt MATH, Vol. 1069, 2005)"


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