Colin Fyfe

Hebbian Learning and Negative Feedback Networks (eBook, PDF)

• Format: PDF

Produktbeschreibung

A state of the art specialist monograph on artificial neural networks which use Hebbian learning, covering a wide range of real experiments and which displays how it's approaches can be applied to analyse real problems. The book has a thorough approach and brings together a wide range of concepts into a coherent whole. Colin Fyfe writes with authority, and is a well-known, experienced researcher who has led a team working in this area at Paisley.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 383
• Erscheinungstermin: 7. Juni 2007
• Englisch
• ISBN-13: 9781846281181
• Artikelnr.: 37363368

Autorenporträt

Colin Fyfe, University of Paisley, UK

Inhaltsangabe

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.

Rezensionen

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)