PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning (4th Edition) (Advanced Series in Circuits and Systems, 8, Band 8) - Hardcover

Graupe Daniel

 
9789811201226: PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning (4th Edition) (Advanced Series in Circuits and Systems, 8, Band 8)
Hardcover
ISBN 10: 9811201226 ISBN 13: 9789811201226
Verlag: World Scientific, 2019

Inhaltsangabe

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning. This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained. The title 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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Verlag
World Scientific
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
9811201226
ISBN 13 
9789811201226
Einband
Gebundene Ausgabe
Auflage
4
Anzahl der Seiten
440
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
Niedersachsen
49078
Deutschland