Principal Component Neural Networks : Theory and Applications Hardback
by K. I. (Aristotle University, Thessaloniki, Greece) Diamantaras, S. Y. (Princeton University) Kung
Part of the Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control series
Hardback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:272 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:04/04/1996
- Category:
- ISBN:9780471054368
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:272 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:04/04/1996
- Category:
- ISBN:9780471054368