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Neural Networks for Pattern Recognition
Christopher M. BishopHow much do you like this book?
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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 modelling 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.
Categories:
Year:
1995
Edition:
1
Publisher:
Oxford University Press, USA
Language:
english
Pages:
498
ISBN 10:
0198538642
ISBN 13:
9780198538646
File:
PDF, 22.44 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 1995
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