loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Dynamics of the Generalized Lotto-Type Competitive Learning
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
Andrew Luk, St B&P Neural Investments Pty Limited
Sandra Lien, St B&P Neural Investments Pty Limited
In the generalized lotto-type competitive learning algorithm, more than one winner exists, and the winners are divided into tiers, with each tier being rewarded differently. All the losers are penalized equally. It is possible to formulate a set of equations, which is useful in studying the various dynamic aspects of the generalized lotto-type competitive learning.
Citation:
Andrew Luk, Sandra Lien, "Dynamics of the Generalized Lotto-Type Competitive Learning," ijcnn, vol. 4, pp.4597, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
Usage of this product signifies your acceptance of the Terms of Use.