PRIN ART NEURAL NETWORK (3RD ED) (Advanced Series in Circuits and Systems, 7, Band 7) - Hardcover

Graupe Daniel

 
9789814522731: PRIN ART NEURAL NETWORK (3RD ED) (Advanced Series in Circuits and Systems, 7, Band 7)
Hardcover
ISBN 10: 9814522732 ISBN 13: 9789814522731
Verlag: World Scientific, 2013

Inhaltsangabe

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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Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
World Scientific
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
9814522732
ISBN 13 
9789814522731
Einband
Gebundene Ausgabe
Auflage
3
Anzahl der Seiten
382
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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