Principal Component Neural Networks: Theory and Applications (Adaptive and Learning Systems for Signal Processing, Communications, and coNtrol)

Diamantaras Konstantinos, I. und Y. Kung S.:

ISBN 10: 0471054364 / ISBN 13: 9780471054368

Verlag: Wiley-Interscience, 1996

Beschreibung

255 Seiten; 9780471054368.2 Gewicht in Gramm: 1. Bestandsnummer des Verkäufers 622046

Bibliografische Details

Titel: Principal Component Neural Networks: Theory ...

Verlag: Wiley-Interscience

Erscheinungsdatum: 1996

Einband: hardcover

Zustand: Sehr gut

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Inhaltsangabe:

1

Reseña del editor:

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.