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

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

Seller Inventory # OTV.0198538642.VG

Bibliographic Details

• Title: BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
• Publisher: Oxford University Press
• Publication Date: 1995
• Language: English
• ISBN 10: 0198538642
• ISBN 13: 9780198538646
• Binding: Soft cover
• Condition: very_good

About this title

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.