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###-Book Description Begin-###
by Daniel Graupe (Author)
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.
Series: Advanced Series in Circuits and Systems (Book 8)
Hardcover: 440 pages
Publisher: WSPC; 4 edition (March 8, 2019)
Language: English
ISBN-10: 9811201226
ISBN-13: 978-9811201226
