Neural Networks for Pattern Recognition

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  • Neural Networks for Pattern Recognition Book Detail

  • Author : Christopher M. Bishop
  • Release Date : 1995-11-23
  • Publisher : Oxford University Press
  • Genre : Computers
  • Pages : 501
  • ISBN 13 : 0198538642
  • File Size : 39,39 MB

Neural Networks for Pattern Recognition by Christopher M. Bishop PDF Summary

Book Description: Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.

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Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition

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Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Par

Statistical Pattern Recognition

Statistical Pattern Recognition

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Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as