Overview
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Table of contents (7 chapters)
Keywords
About this book
Multi-Valued and Universal Binary Neurons is intended for anyone with a scholarly interest in neural network theory, applications and learning. It will also be of interest to researchers and practitioners in the fields of image processing, pattern recognition, control and robotics.
Authors and Affiliations
Bibliographic Information
Book Title: Multi-Valued and Universal Binary Neurons
Book Subtitle: Theory, Learning and Applications
Authors: Igor N. Aizenberg, Naum N. Aizenberg, Joos Vandewalle
DOI: https://doi.org/10.1007/978-1-4757-3115-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2000
Hardcover ISBN: 978-0-7923-7824-2Published: 30 April 2000
Softcover ISBN: 978-1-4419-4978-3Published: 03 December 2010
eBook ISBN: 978-1-4757-3115-6Published: 14 March 2013
Edition Number: 1
Number of Pages: IV, 276
Topics: Complex Systems, Artificial Intelligence, Control, Robotics, Mechatronics, Electrical Engineering, Signal, Image and Speech Processing, Statistical Physics and Dynamical Systems