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Neural Networks for Pattern Recognition


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Neural Networks for Pattern Recognition - Bishop, Christopher M
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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 ...

Neural Networks for Pattern Recognition 1996, Clarendon Press, Oxford, England

ISBN-13: 9780198538646

Trade paperback