Principal Component Neural Networks: Theory and...

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Computers - Computer Science
Principal Component Neural Networks:...

Principal Component Neural Networks: Theory and Applications

Name: Principal Component Neural Networks: Theory and Applications
ISBN: 9780471054368

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.

Категорії:

Computers - Computer Science

Рік:

1996

Видання:

Видавництво:

Wiley-Interscience

Мова:

english

Сторінки:

272

ISBN 10: