Competitive learning with subspace search in transform domain

Wen Jyi Hwang, Shi Chiang Liao

研究成果: 雜誌貢獻文章同行評審

摘要

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.

原文英語
頁(從 - 到)1240-1241
頁數2
期刊Electronics Letters
34
發行號12
出版狀態已發佈 - 1998 六月 11
對外發佈Yes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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