Principles of Artificial Neural Networks: Basic Designs to Deep Learning

Graupe, Daniel

ISBN 10: 9811201226 / ISBN 13: 9789811201226

Published by World Scientific Pub Co Inc, 2019

About this Item

4th edition. 400 pages. 9.75x6.75x1.00 inches. In Stock.

Seller Inventory # x-9811201226

Bibliographic Details

• Title: Principles of Artificial Neural Networks: Basic Designs to Deep Learning
• Publisher: World Scientific Pub Co Inc
• Publication Date: 2019
• Language: English
• ISBN 10: 9811201226
• ISBN 13: 9789811201226
• Binding: Hardcover
• Edition: 4th Edition
• Condition: Brand New
• Weight: 0.98 kilograms

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.