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About this book
Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications.
For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.
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Table of contents (18 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Neural Networks in Telecommunications
Editors: Ben Yuhas, Nirwan Ansari
DOI: https://doi.org/10.1007/978-1-4615-2734-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1994
Hardcover ISBN: 978-0-7923-9417-4Published: 31 December 1993
Softcover ISBN: 978-1-4613-6179-4Published: 04 October 2012
eBook ISBN: 978-1-4615-2734-3Published: 06 December 2012
Edition Number: 1
Number of Pages: XIV, 369
Topics: Artificial Intelligence, Complex Systems, Electrical Engineering, Computer Communication Networks, Signal, Image and Speech Processing, Statistical Physics and Dynamical Systems