Haykin, Simon S., <br/><br/>
Neural networks :  a comprehensive foundation /  
Simon Haykin. 
 - 2nd ed. 
 - Upper Saddle River, N.J. :  Prentice Hall,  c1999. 
 - xxi, 842 p. :  ill. ;  25 cm. 
<br/><br/>Introduction (Page-1), Learning Process (Page-50), Single Layer Perceptions (Page-117), Multilayer Perceptions (Page-156), Radial Basis Function Networks (Page-256),  Support Vector Machines (Page-318), Committee Machines (Page-351),  Principles Components Analysis (Page-392), Self Organizing Maps (Page-443), Information Theoretic Models (Page-484), Stochastic Machines And Their Approximates Rooted In Statistical Mechanics (Page-545), Nerurodynamic Programming (Page-635), Neurodynamics (Page-664), Dynamically Driven Recurrent Networks (Page-732),  
<br/><br/><label>ISBN: </label>8120323734 
<br/><br/><label>LCCN: </label>98007011 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)
<br/><br/><label>Dewey Class. No.: </label>006.3,HAY