Search - Principal Component Neural Networks : Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Principal Component Neural Networks Theory and Applications - Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Author: K. I. Diamantaras, S. Y. Kung

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors present neural models performing PCA from the Hebbian ...  more »learning rule and those which use least squares learning rules such as back-propagation. Examines the principles of biological perceptual systems to explain how the brain works. Every chapter contains a selected list of applications examples from diverse areas.  « less

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ISBN-13: 9780471054368
ISBN-10: 0471054364
Publication Date: 2/1996
Pages: 272
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Publisher: Wiley-Interscience
Book Type: Hardcover
Members Wishing: 0
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