Hebbian Learning and Negative Feedback Networks
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Beschreibung
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.
Concentrates on one specific architecture and learning rule which no other book does State of the art in artificial neural networks which use Hebbian learning A comparative study of a variety of techniques that have been drawn from extensions of one network The close link between statistics and artificial neural networks is made clear No other direct competition
Autor*in
Colin Fyfe
Themen in »Hebbian Learning and Negative Feedback Networks«
Artificial neural networks Data mining Exploratory data analyis Hebbian learning Kernel Machine learning Signal processing Unsupervised learning artificial neural network learning neural network
Stimmen zu »Hebbian Learning and Negative Feedback Networks«
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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