Neural Networks for Pattern Recognition

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Computers - Computer Science
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition

Name: Neural Networks for Pattern Recognition
ISBN: 9780198538646

Christopher M. Bishop

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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.

카테고리:

Computers - Computer Science

년:

1996

판:

출판사:

Oxford University Press, USA

언어:

english

페이지:

251

ISBN 10: