KWTA networks and their applications

Taek M Kwon, Michael Zervakis

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Winner-Take-All (WTA) or K-Winner-Take-All (KWTA) networks have been frequently used as the basic building blocks of complex neural networks. This paper introduces a new selection rule for network connections that implements stable KWTA networks. To widen the applications of WTA networks, a new class of WTA networks is proposed, and their efficient design methods are presented. We demonstrate the properties of the generalized class of WTA networks, through three application examples.

Original languageEnglish (US)
Pages (from-to)333-346
Number of pages14
JournalMultidimensional Systems and Signal Processing
Volume6
Issue number4
DOIs
StatePublished - Oct 1995

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