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Item Details
Title: DISCRETE MATHEMATICS OF NEURAL NETWORKS
SELECTED TOPICS
By: Martin Anthony, Peter Hammer
Format: Hardback

List price: £66.99
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ISBN 10: 089871480X
ISBN 13: 9780898714807
Availability: Usually dispatched within 1-3 weeks.
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Publisher: SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S.
Pub. date: 1 January, 1987
Series: SIAM Monographs on Discrete Mathematics & Applications No. 9
Pages: 142
Description: This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks.
Synopsis: This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks. Neural networks have emerged as a key technology in many fields of application, and an understanding of the theories concerning what such systems can and cannot do is essential. The author discusses interesting connections between special types of Boolean functions and the simplest types of neural networks. Some classical results are presented with accessible proofs, together with some more recent perspectives, such as those obtained by considering decision lists. In addition, probabilistic models of neural network learning are discussed. Graph theory, some partially ordered set theory, computational complexity, and discrete probability are among the mathematical topics involved. Pointers to further reading and an extensive bibliography make this book a good starting point for research in discrete mathematics and neural networks.
Illustrations: Ill.
Publication: US
Imprint: Society for Industrial & Applied Mathematics,U.S.
Returns: Non-returnable
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