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

Graupe, Daniel

 
9789811201226: Principles of Artificial Neural Networks: Basic Designs to Deep Learning: 8
Rilegato
ISBN 10: 9811201226 ISBN 13: 9789811201226
Casa editrice: World Scientific Pub Co Inc, 2019

Sinossi

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