Del 4 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Principal Component Neural Networks

Theory and Applications

Inbunden, Engelska, 1996

AvK. I. Diamantaras,S. Y. Kung,S. y. Kung,Diamantaras,Kung,K I Diamantaras,S Y Kung

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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 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.

Produktinformation

Utgivningsdatum1996-04-04
Mått161 x 241 x 20 mm
Vikt567 g
FormatInbunden
SpråkEngelska
SerieDel 4 i Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Antal sidor272
FörlagJohn Wiley & Sons Inc
ISBN9780471054368

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Systemvetenskap och AI inom Data och it

K. I. Diamantaras is a research scientist at Aristotle University in Thessaloniki, Greece. He received his PhD from Princeton University and was formerly a research scientist for Siemans Corporate Research. S. Y. Kung is Professor of Electrical Engineering at Princeton University and received his PhD from Stanford University. He was formerly a professor of electrical engineering at the University of Southern California.