Graupe, Daniel <br/><br/>
Principles of artificial neural networks 
Daniel Graupe 
 - 3rd ed. 
 - New Jersey :  World Scientific,  2013. 
 - xviii, 363 p. :  ill. ;  26 cm. 
 - Advanced series on circuits and systems ;  volume 7 .
<br/><br/>
<br/><br/> This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. 
<br/><br/><label>ISBN: </label>9789814522731 
<br/><br/><label>LCCN: </label>2013372134 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)
<br/><br/><label>Dewey Class. No.: </label>006.3/2