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10.5555/846231.849003guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Dynamics of the Generalized Lotto-Type Competitive Learning

Published: 24 July 2000 Publication History

Abstract

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.

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cover image Guide Proceedings
IJCNN '00: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
July 2000
ISBN:0769506194

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IEEE Computer Society

United States

Publication History

Published: 24 July 2000

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