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

DANIEL GRAUPE

ISBN 10: 0000988995 / ISBN 13: 9780000988997

Published by WORLD SCIENTIFIC INDIA, 2020

About this Item

Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Seller Inventory # AD 9780000988997

Bibliographic Details

• Title: PRINCIPLES OF ARTIFICIAL NEURAL NETWORKS: BASIC DESIGNS TO DEEP LEARNING (4TH EDITION)*
• Publisher: WORLD SCIENTIFIC INDIA
• Publication Date: 2020
• Language: English
• ISBN 10: 0000988995
• ISBN 13: 9780000988997
• Binding: Papeback
• Edition: International Edition
• Condition: Brand 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.