{"product_id":"principal-component-neural-networks-theory-and-applications-0471054364","title":"Principal Component Neural Networks: Theory and Applications","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0471054364\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Diamantaras, K. I.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eSystematically 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.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51976219984160,"sku":"NEW0471054364","price":204.27,"currency_code":"USD","in_stock":true}],"url":"https:\/\/miakarts.com\/products\/principal-component-neural-networks-theory-and-applications-0471054364","provider":"Miakarts Books","version":"1.0","type":"link"}