한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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- Pages.700-702
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- 2004
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- 1598-5164(pISSN)
다충신경망을 위한 온라인방식 학습의 개별학습단계 최적화 방법
Local-step Optimization in Online Update Learning of Multilayer Perceptrons
- Tae-Seung, Lee (Hankuk Aviation University) ;
- Ho-Jin, Choi (Information and Communication University)
- Published : 2004.10.01
Abstract
A local-step optimization method is proposed to supplement the global-step optimization methods which adopt online update mode of internal weights and error energy as stop criterion in learning of multilayer perceptrons (MLPs). This optimization method is applied to the standard online error backpropagation(EBP) and the performance is evaluated for a speaker verification system.
Keywords