BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback)). This item is unavailable.
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Language: English
Published by Oxford University Press, 1995
- Softcover
- New
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Softcover
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- Title
- BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
- Author
- BISHOP, Christopher M.
- Publisher
- Oxford University Press
- Publication year
- 1995
- Condition
- New
- Binding
- paperback
- Language
- English
- ISBN 10
- 0198538642
- ISBN 13
- 9780198538646
- Item weight
- 26 ounces
- Dimensions
- 1x9x6
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.
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About the Author
Chris Bishop is at Aston University.
"About the title" may belong to another edition of this title.
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