Principles of Artificial Neural Networks: 7 - Rilegato

Graupe, Daniel

Rilegato

ISBN 10: 9814522732 ISBN 13: 9789814522731

Casa editrice: World Scientific Pub Co Inc, 2013

Riassunto

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.

Dettagli dell?edizione

• Editore: World Scientific Pub Co Inc
• Data di pubblicazione: 2013
• ISBN 10: 9814522732
• ISBN 13: 9789814522731
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 3
• Numero di pagine: 363
• Contatto del produttore: non disponibile