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Principles Of Artificial Neural Networks (3rd Edition): 7 (Advanced Series In Circuits And Systems) - Hardcover

Graupe, Daniel

 
9789814522731: Principles Of Artificial Neural Networks (3rd Edition): 7 (Advanced Series In Circuits And Systems)
Hardcover
ISBN 10: 9814522732 ISBN 13: 9789814522731
Publisher: World Scientific, 2013

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
World Scientific
Publication date
2013
Language
English
ISBN 10 
9814522732
ISBN 13 
9789814522731
Binding
Hardcover
Edition number
3
Number of pages
384