PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING (4TH EDITION)*

Daniel Graupe

ISBN 10: 0000988995 ISBN 13: 9780000988997

Published by World Scientific, 2020

Language: English

Condition: New Soft cover

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Bibliographic Details

Title

PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING (4TH EDITION)*

Publisher

World Scientific

Publication Date

2020

Language

English

ISBN 10

0000988995

ISBN 13

9780000988997

Binding

Soft cover

Condition

New

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Synopsis

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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