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Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)

Christopher M. Bishop




[PDF.ab64] Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)

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 | #279212 in Books |  imusti |  1996-01-18 | Original language:English | PDF # 1 |  6.19 x1.12 x9.19l,1.71 | File type: PDF | 504 pages

 | Oxford University Press USA

||1 of 1 people found the following review helpful.| Too general|By Dimitri K|This book is of the type I would call a monologue. It sounds like it is not intended to teach or explain, but rather to speak to someone who already knows. The author discuss the issues which the reader has no idea about, without even trying to give an explanation. A couple of general formulas, which can be put in any scientific book. Pictures are few,|.com |This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. The focus is on the types of neural nets that are most widely used in practical applications, such as the multi-layer perceptron and radial bas

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 generalizat...

You easily download any file type for your device.Neural Networks for Pattern Recognition (Advanced Texts in Econometrics)   |  Christopher M. Bishop. I really enjoyed this book and have already told so many people about it!

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