This book is in good condition only. The book has some shelfwear; some tearing to bottom corner of front cover near spine. Inside pages are clean. ; 382 pages.

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D�tails bibliographiques

Titre: Principles of Artificial Neural Networks (Advanced Circuits and Systems) : 3rd Edition
�diteur: World Scientific Publishing Company
Date de parution: 2013
Langue: anglais
ISBN � 10 chiffres: 9814522732
ISBN � 13 chiffres: 9789814522731
Reliure: Hardcover
�dition: 3�me �dition
�tat de l'article: Good

A propos de ce titre

Synopsis

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition -- all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

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Mahler Books
TX, U.S.A.

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