Principles of artificial neural networks /

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 t...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Graupe, Daniel (Author)
Format: Electronic eBook
Language:English
Published: [Hackensack] New Jersey : World Scientific, 2013
Edition:3rd edition.
Series:Advanced series on circuits and systems ; v. 7.
Subjects:
Local Note:ProQuest Ebook Central