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.