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About this book
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.
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Table of contents (13 chapters)
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Introduction
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Supervised Training
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Pattern Recognition and Classification
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Signal Processing
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Unsupervised Training
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Temporal Sequences — Reinforcement Learning
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Mixed- Mode (Supervised and Unsupervised) Training
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Editors and Affiliations
Bibliographic Information
Book Title: Applications of Neural Networks
Editors: Alan F. Murray
DOI: https://doi.org/10.1007/978-1-4757-2379-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-7923-9442-6Published: 31 December 1994
Softcover ISBN: 978-1-4419-5140-3Published: 07 December 2010
eBook ISBN: 978-1-4757-2379-3Published: 17 April 2013
Edition Number: 1
Number of Pages: XII, 322
Topics: Complex Systems, Artificial Intelligence, Electrical Engineering, Mechanical Engineering, Statistical Physics and Dynamical Systems