Fast design algorithm for competitive learning

Wen Jyi Hwang; Faa Jeng Lin; Yi Chong Zeng

doi:10.1049/el:19971010

Fast design algorithm for competitive learning

Wen Jyi Hwang, Faa Jeng Lin, Yi Chong Zeng

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

8 引文斯高帕斯（Scopus）

摘要

The authors present a new, fast computation algorithm which significantly reduces the training time of the competitive learning (CL) algorithm without sacrificing its performance. The training process is performed in the wavelet domain to identify the winning neural units with a small number of multiplications. Simulation results show that in many cases the algorithm requires < 10% of the computational time required by traditional CL algorithms.

原文	英語
頁（從 - 到）	1469-1471
頁數	3
期刊	Electronics Letters
卷	33
發行號	17
DOIs	https://doi.org/10.1049/el:19971010
出版狀態	已發佈 - 1997 8月 14
對外發佈	是

ASJC Scopus subject areas

電氣與電子工程

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10.1049/el:19971010

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title = "Fast design algorithm for competitive learning",

abstract = "The authors present a new, fast computation algorithm which significantly reduces the training time of the competitive learning (CL) algorithm without sacrificing its performance. The training process is performed in the wavelet domain to identify the winning neural units with a small number of multiplications. Simulation results show that in many cases the algorithm requires < 10% of the computational time required by traditional CL algorithms.",

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Fast design algorithm for competitive learning

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ASJC Scopus subject areas

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