Principles of Artificial Neural Networks: Basic Designs to Deep Learning: 8 - Rilegato

Graupe, Daniel

Rilegato

ISBN 10: 9811201226 ISBN 13: 9789811201226

Casa editrice: World Scientific Pub Co Inc, 2019

Riassunto

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.

Dettagli dell?edizione

• Editore: World Scientific Pub Co Inc
• Data di pubblicazione: 2019
• ISBN 10: 9811201226
• ISBN 13: 9789811201226
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 4
• Numero di pagine: 440
• Contatto del produttore: non disponibile