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Volumn , Issue , 1997, Pages 148-154

Multilayer neural networks: One or two hidden layers?

Author keywords

[No Author keywords available]

Indexed keywords

COMPACT SETS; HIDDEN LAYERS; INTERSECTION POINTS; NONLOCAL;

EID: 33645139652     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (13)
  • 1
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    • Baum, E.B.1
  • 2
    • 0025747581 scopus 로고
    • Approximation theory and feedforward networks
    • E. K. Blum and L. K. Li. Approximation theory and feedforward networks. Neural Networks, 4(4):511-516, 1991.
    • (1991) Neural Networks , vol.4 , Issue.4 , pp. 511-516
    • Blum, E.K.1    Li, L.K.2
  • 3
    • 84898977747 scopus 로고    scopus 로고
    • Multilayer neural networks: One or two hidden layers?
    • LIP, ENS Lyon
    • G. Bright well, C. Kenyon, and H. Paugam-Moisy. Multilayer neural networks: one or two hidden layers? Research Report 96-37, LIP, ENS Lyon, 1996.
    • (1996) Research Report , pp. 96-37
    • Brightwell, G.1    Kenyon, C.2    Paugam-Moisy, H.3
  • 4
    • 0041303312 scopus 로고
    • Complexity issues in neural network computations
    • I. Simon, editor, volume 583 of LNCS, Springer Verlag
    • M. Cosnard, P. Koiran, and H. Paugam-Moisy. Complexity issues in neural network computations. In I. Simon, editor, Proc. of LATIN'92, volume 583 of LNCS, pages 530-544. Springer Verlag, 1992.
    • (1992) Proc. of LATIN'92 , pp. 530-544
    • Cosnard, M.1    Koiran, P.2    Paugam-Moisy, H.3
  • 5
    • 0027885705 scopus 로고
    • A step towards the frontier between one-hidden-layer and two-hidden layer neural networks
    • I. Simon, editor, Springer Verlag
    • M. Cosnard, P. Koiran, and H. Paugam-Moisy. A step towards the frontier between one-hidden-layer and two-hidden layer neural networks. In I. Simon, editor, Proc. of IJCNN'93-Nagoya, volume 3, pages 2292-2295. Springer Verlag, 1993.
    • (1993) Proc. of IJCNN'93-Nagoya , vol.3 , pp. 2292-2295
    • Cosnard, M.1    Koiran, P.2    Paugam-Moisy, H.3
  • 6
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • October
    • G. Cybenko. Approximation by superpositions of a sigmoidal function. Math. Control, Signal Systems, 2:303-314, October 1988.
    • (1988) Math. Control, Signal Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 7
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • K. Funahashi. On the approximate realization of continuous mappings by neural networks. Neural Networks, 2(3): 183-192, 1989.
    • (1989) Neural Networks , vol.2 , Issue.3 , pp. 183-192
    • Funahashi, K.1
  • 8
    • 0027696371 scopus 로고
    • A combinatorial approach to understanding perceptron decision regions
    • G. J. Gibson. A combinatorial approach to understanding perceptron decision regions. IEEE Trans. Neural Networks, 4:989-992, 1993.
    • (1993) IEEE Trans. Neural Networks , vol.4 , pp. 989-992
    • Gibson, G.J.1
  • 9
    • 0030129171 scopus 로고    scopus 로고
    • Exact classification with two-layer neural nets
    • G. J. Gibson. Exact classification with two-layer neural nets. Journal of Computer and System Science, 52(2):349-356, 1996.
    • (1996) Journal of Computer and System Science , vol.52 , Issue.2 , pp. 349-356
    • Gibson, G.J.1
  • 11
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward networks are universal approximators. Neural Networks, 2(5):359-366, 1989.
    • (1989) Neural Networks , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 12
    • 0025792215 scopus 로고
    • Bounds on the number of hidden neurones in multilayer perceptrons
    • S.-C. Huang and Y.-F. Huang. Bounds on the number of hidden neurones in multilayer perceptrons. IEEE Trans. Neural Networks, 2:47-55, 1991.
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 47-55
    • Huang, S.-C.1    Huang, Y.-F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.