Del 4 i serien Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Principal Component Neural Networks
Theory and Applications
Inbunden, Engelska, 1996
2 949 kr
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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.
Produktinformation
- Utgivningsdatum1996-04-04
- Mått161 x 241 x 20 mm
- Vikt567 g
- FormatInbunden
- SpråkEngelska
- SerieAdaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
- Antal sidor272
- FörlagJohn Wiley & Sons Inc
- ISBN9780471054368