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
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