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Neural Networks for Pattern Recognition



eBook Information



Neural Networks for Pattern Recognition

ISBN  0198538642
Release Date  03 November 1995
Category  Neural Network
Tags  neural,  
recognition,  
bishop,  
"pattern recognition",  
"neural network",  
pattern recognition,  
pattern,  
"neural networks",  
face recognition,  
0198538642,  
pattern classification,  
"neural networks for pattern recognition",  
public switched telecommunication network,  
character recognition,  
neural networks,  
speaker recognition,  
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Description

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 basis function networks. Rather than trying to cover many different types of neural networks, Bishop thoroughly covers topics such as density estimation, error functions, parameter optimization algorithms, data pre-processing, and Bayesian methods. All topics are organized well and all mathematical foundations are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of math knowledge necessary for an undergraduate science degree.









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