Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition) (Advanced Circuits and Systems)

Daniel Graupe

ISBN 10: 9811201226 / ISBN 13: 9789811201226

Published by WSPC, 2019

About this Item

New.

Seller Inventory # ERICA75898112012265

Bibliographic Details

• Title: Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition) (Advanced Circuits and Systems)
• Publisher: WSPC
• Publication Date: 2019
• Language: English
• ISBN 10: 9811201226
• ISBN 13: 9789811201226
• Binding: Hardcover
• Edition: 4th Edition
• Condition: New
• Book Type: book

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.