{"product_id":"principal-component-neural-networks-theory-and-applications-0471054364-used","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 Used\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":52340843970848,"sku":"USED0471054364","price":206.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61WNYEqCt9L.jpg?v=1789146280","url":"https:\/\/miakarts.com\/products\/principal-component-neural-networks-theory-and-applications-0471054364-used","provider":"Miakarts Books","version":"1.0","type":"link"}