BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
BISHOP, Christopher M.
ISBN 10: 0198538642 ISBN 13: 9780198538646
Published by Oxford University Press, 1995
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Soft cover
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Greenworld Books, Arlington, TX, U.S.A.
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About this Item
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Fast Free Shipping â Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy. Seller Inventory # GWV.0198538642.VG
Synopsis:
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.
About the Author: Chris Bishop is at Aston University.
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Bibliographic Details
Title: BISHOP:NEURAL NETWORKS FOR PATTERN ...
Publisher: Oxford University Press
Publication Date: 1995
Binding: Soft cover
Condition: very_good