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Principles Of Artificial Neural Networks (3rd Edition) (Advanced Series In Circuits And Systems)

By: Daniel Graupe (Author)

Extended Catalogue

Ksh 28,500.00

Format: Hardback or Cased Book

ISBN-10: 9814522732

ISBN-13: 9789814522731

Collection / Series: Advanced Series In Circuits And Systems

Collection Type: Publisher collection

Edition statement: 3 Revised edition

Publisher: World Scientific Publishing Co Pte Ltd

Imprint: World Scientific Publishing Co Pte Ltd

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 18th, 2013

Publication Status: Active

Product extent: 384 Pages

Product Classification / Subject(s): Neural networks & fuzzy systems

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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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