Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) Hardback
by Daniel (-) Graupe
Part of the Advanced Series In Circuits And Systems series
Hardback
- Information
Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:440 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:15/04/2019
- Category:
- ISBN:9789811201226
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:440 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:15/04/2019
- Category:
- ISBN:9789811201226
