Hoppa till sidans huvudinnehåll

Theory and Applications

Inbunden, Engelska, 1996

AvK. I. Diamantaras,S. Y. Kung

2 949 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.


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

Tillhör följande kategorier

Hoppa över listan

Mer från samma serie

Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker - Correlative Learning, Inbunden
Del 49

Correlative Learning

Zhe Chen, Simon Haykin, Jos J. Eggermont, Suzanna Becker

Inbunden, 2007

2 829 kr

Hoppa över listan

Du kanske också är intresserad av

Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri, Simon Haykin - Nonlinear Dynamical Systems, Inbunden
Del 21

Nonlinear Dynamical Systems

Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri, Simon Haykin

Inbunden, 2001

2 759 kr