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Volumn 16, Issue 3, 1997, Pages 225-235

On the solution of the parity problem by a single hidden layer feedforward neural network

Author keywords

Feedforward network; Parity problem; Sigmoid function

Indexed keywords

COMPUTATIONAL COMPLEXITY; PROBLEM SOLVING; TRANSFER FUNCTIONS;

EID: 0031240054     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00030-1     Document Type: Article
Times cited : (26)

References (12)
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  • 2
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    • Solving the N-bit parity problem with only one hidden unit
    • D.A. Brown, Solving the N-bit parity problem with only one hidden unit, Neural Networks 6 (1993) 607-608.
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    • Brown, D.A.1
  • 5
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    • Optimization of the hidden unit function in feedforward neural networks
    • O. Fujita, Optimization of the hidden unit function in feedforward neural networks, Neural Networks 5 (1992) 755-764.
    • (1992) Neural Networks , vol.5 , pp. 755-764
    • Fujita, O.1
  • 6
    • 0004236492 scopus 로고
    • The Johns Hopkins University Press, Baltimore
    • G.H. Golub, C.F. van Loan, Matrix Computation, The Johns Hopkins University Press, Baltimore, 1983, p. 119.
    • (1983) Matrix Computation , pp. 119
    • Golub, G.H.1    Van Loan, C.F.2
  • 7
    • 0027268953 scopus 로고
    • Parity with two layer feedforward nets
    • J.M. Minor, Parity with two layer feedforward nets, Neural Networks 6 (1993) 705-707.
    • (1993) Neural Networks , vol.6 , pp. 705-707
    • Minor, J.M.1
  • 8
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M.F. Moller, A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks 6 (1993) 525-533.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.F.1
  • 10
    • 0029185114 scopus 로고
    • Use of quasi-Newton method in a feedforward neural network construction algorithm
    • R. Setiono, L.C.K. Hui, Use of quasi-Newton method in a feedforward neural network construction algorithm, IEEE Trans. Neural Networks 6 (1) (1995) 273-277.
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.1 , pp. 273-277
    • Setiono, R.1    Hui, L.C.K.2
  • 11
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    • Feedforward nets for interpolation and classification
    • E.D. Sontag, Feedforward nets for interpolation and classification, J. Comput. System Sci. 45 (1992) 20-48.
    • (1992) J. Comput. System Sci. , vol.45 , pp. 20-48
    • Sontag, E.D.1
  • 12
    • 0026953152 scopus 로고
    • How to solve the N-bit parity problem with two hidden units
    • D.G. Stork, J.D. Allen, How to solve the N-bit parity problem with two hidden units, Neural Networks 5 (1992) 923-926.
    • (1992) Neural Networks , vol.5 , pp. 923-926
    • Stork, D.G.1    Allen, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.