Bishop, Christopher M. <br/><br/>
Neural networks for pattern recognition 

 - Indian edition. 
 - Oxford :   Oxford University Press,   1995. 
 - illustrations ;   xvii, 482 pages :   24 cm 
<br/><br/> 1. Statistical Pattern Recognition --<br/>  2. Probability Density Estimation --<br/>  3. Single-Layer Networks --<br/>  4. The Multi-layer Perceptron --<br/>  5. Radial Basis Functions --<br/>  6. Error Functions --<br/>  7. Parameter Optimization Algorithms --<br/>  8. Pre-processing and Feature Extraction --<br/>  9. Learning and Generalization --<br/>  10. Bayesian Techniques. 
<br/><br/> This is a comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions. 
<br/><br/><label>ISBN: </label>9780195667998 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Pattern recognition systems<br/>Neural networks (Computer science)
<br/><br/><label>Dewey Class. No.: </label>006.4  / BIS