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Volumn 8, Issue 3, 1999, Pages 218-225

An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer

Author keywords

Backpropagation; BFGS Quasi Newton algorithm; Conjugate gradient algorithm; Least squares; Multilayer neural networks

Indexed keywords


EID: 0033240932     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s005210050024     Document Type: Article
Times cited : (10)

References (15)
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  • 2
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  • 4
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  • 5
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    • Kinnebrock, W.1
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    • Zhang, B.1    Zhang, L.2    Wu, F.3
  • 8
    • 0027224761 scopus 로고
    • A learning algorithm for multilayered neural networks based on linear least square problems
    • Konig FB, Barmann F. A learning algorithm for multilayered neural networks based on linear least square problems. Neural Networks 1993; 6: 127-131
    • (1993) Neural Networks , vol.6 , pp. 127-131
    • Konig, F.B.1    Barmann, F.2
  • 9
    • 0026460513 scopus 로고
    • On a class of efficient learning algorithms for neural networks
    • Konig FB, Barmann F. On a class of efficient learning algorithms for neural networks. Neural Networks 1992; 5: 139-144
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    • Konig, F.B.1    Barmann, F.2
  • 10
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    • Ergezinger, S.1    Thomsn, E.2
  • 12
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    • Approximation by superposition of a sigmoidal function
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.