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.
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics) pdf free download
Neural Networks for Pattern Recognition (Advanced Texts in Econometrics) pdf
Christopher M. Bishop ebooks downloads
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