Haykin, Simon <br/><br/>
Neural networks :  a comprehensive foundation / 
Simon Haykin 
 - 2nd  ed. 
 - New Delhi :  Prentice Hall,   2005 
 - 842 p. : ill. ;  23 cm. 
<br/><br/>Includes index and Bibliography. 
<br/><br/>Introduction Learning process Single Layer Perceptrons<br/> Multilayer Perceptrons<br/> Radial-Basis Function Networks<br/> Generalized Radial-Basis Function Networks Support Vector Machines for Nonlinear Regression Committee Machines<br/> Computer Experiment Principal Components Analysis<br/> Self-Organizing Maps<br/> Information-Theoretic Models<br/> Stochastic Machines And Their Approximates Rooted In Statistical Mechanics<br/> Neurodynamic Programming<br/> Temporal Processing Using Feedforward Networks<br/> Neurodynamics<br/> Dynamically Driven Recurrent Networks<br/> 
<br/><br/><label>ISBN: </label>8178083000 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science) <br/>Artificial intelligence <br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>006.32  / HAN