Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)

Bishop, Christopher M.

ISBN 10: 0198538642 / ISBN 13: 9780198538646

Published by Clarendon Press, 1996

About this Item

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Seller Inventory # S_457870648

Bibliographic Details

• Title: Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)
• Publisher: Clarendon Press
• Publication Date: 1996
• Language: English
• ISBN 10: 0198538642
• ISBN 13: 9780198538646
• Binding: Paperback
• 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.