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

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.

Author: Daniel Graupe
Publisher: World Scientific Publishing Company
Published: 04/15/2019
Pages: 440
Binding Type: Hardcover
Weight: 1.98lbs
Size: 9.61h x 6.69w x 1.00d
ISBN13: 9789811201226
ISBN10: 9811201226
BISAC Categories:
- Computers | Artificial Intelligence | General
- Computers | Data Science | Neural Networks