Competitive learning with subspace search in transform domain

Wen Jyi Hwang*, Shi Chiang Liao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time.

Original languageEnglish
Pages (from-to)1240-1241
Number of pages2
JournalElectronics Letters
Issue number12
Publication statusPublished - 1998 Jun 11
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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