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Graupe, Daniel

Principles of artificial neural networks - 3rd edition. - Singapore world scientific 2020 - xviii, 363 p. - Advanced series on circuits and systems ; vol 8 .

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.

ISBN: 9789814522731 (hbk)

LCCN: 2013372134

Subjects--Topical Terms:
Neural networks (Computer science)

Dewey Class. No.: 006.32 / GRA/P