Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)

Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)

Christopher M. Bishop


this can be the 1st finished remedy of feed-forward neural networks from the viewpoint of statistical trend acceptance. After introducing the elemental recommendations, the publication examines recommendations for modeling chance density features and the homes and benefits of the multi-layer perceptron and radial foundation functionality community types. additionally coated are a number of types of errors features, primary algorithms for blunders functionality minimalization, studying and generalization in neural networks, and Bayesian innovations and their purposes. Designed as a textual content, with over a hundred workouts, this absolutely up to date paintings will profit a person interested in the fields of neural computation and development recognition.

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