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Volumn 34, Issue 1-4, 2000, Pages 11-27

Efficient training and improved performance of multilayer perceptron in pattern classification

Author keywords

Backpropagation algorithm; Faster training; Multilayer perceptron; Pattern classification

Indexed keywords

BACKPROPAGATION; BOUNDARY CONDITIONS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

EID: 0034283761     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(00)00305-2     Document Type: Article
Times cited : (172)

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  • 2
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    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 13
    • 0008172165 scopus 로고
    • Training multilayer perceptrons with the extended Kalman algorithm, Proceedings ICASSP, Galsgow, Scotland, May
    • (1989)
    • Singhal, S.1    Wu, I.2
  • 15
    • 0008209996 scopus 로고
    • An adaptive pattern set strategy for enhancing generalization while improving backpropagation training efficiency, International Joint Conference on Neural Networks, Baltimore, MD
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.