Graupe, Daniel. <br/><br/>
Principles of artificial neural networks / 
Daniel Graupe. 
 - 2nd ed. 
 - Singapore ;  Hackensack, N.J. :  World Scientific,  c2007. 
 - xv, 303 p. :  ill. ;  26 cm. 
 - Advanced series on circuits and systems ;  vol. 6 .
 - Advanced series on circuits and systems ;  v. 6. .
<br/><br/>Includes bibliographical references (p. 291-297) and indexes. 
<br/><br/>Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network. 
<br/><br/><label>ISBN: </label>9812706240 9789812706249 
<br/><br/><label>LCCN: </label>2008270006 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)
<br/><br/><label>LC Class. No.: </label>QA76.87  / G77 2007 
<br/><br/><label>Dewey Class. No.: </label>006.3/2