Competitive learning with subspace search in transform domain

Wen Jyi Hwang; Shi Chiang Liao

doi:10.1049/el:19980858

Competitive learning with subspace search in transform domain

Wen Jyi Hwang^*, Shi Chiang Liao

^*此作品的通信作者

研究成果: 雜誌貢獻 › 期刊論文 › 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
卷	34
發行號	12
DOIs	https://doi.org/10.1049/el:19980858
出版狀態	已發佈 - 1998 6月 11
對外發佈	是

ASJC Scopus subject areas

電氣與電子工程

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10.1049/el:19980858

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abstract = "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.",

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Competitive learning with subspace search in transform domain

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