Principal Component Neural Networks

Principal Component Neural Networks
Author :
Publisher : Wiley-Interscience
Total Pages : 282
Release :
ISBN-10 : UOM:39015037330696
ISBN-13 :
Rating : 4/5 (96 Downloads)

Book Synopsis Principal Component Neural Networks by : K. I. Diamantaras

Download or read book Principal Component Neural Networks written by K. I. Diamantaras and published by Wiley-Interscience. This book was released on 1996-03-08 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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