Neural Networks for Pattern Recognition
Christopher M. Bishop
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· 4 ratings · 504 pages · Published: 18 Jan 1996
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.