Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4Th Edition)

Graupe Daniel

ISBN 10: 0000988995 / ISBN 13: 9780000988997

Published by World Scientific, 2020

About this Item

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-172264

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

About this title

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.