메뉴 건너뛰기




Volumn , Issue , 1997, Pages 162-168

Size of multilayer networks for exact learning: Analytic approach

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC APPROACH; EXACT LEARNING; HIDDEN LAYERS; HIDDEN UNITS; INPUT AND OUTPUTS; MULTI-LAYER NETWORK; REAL SAMPLES; TRAINING SETS;

EID: 0343090605     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (15)
  • 1
    • 0001632845 scopus 로고
    • On the capabilities of multilayer perceptrons
    • E. B. Baum. On the capabilities of multilayer perceptrons. J, of Complexity, 4:193-215,1988.
    • (1988) J, of Complexity , vol.4 , pp. 193-215
    • Baum, E.B.1
  • 2
    • 0001160588 scopus 로고
    • What size net gives valid generalization ?
    • E. B. Baum and D. Haussler. What size net gives valid generalization ? Neural Computation, 1:151-160, 1989.
    • (1989) Neural Computation , vol.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 3
    • 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
  • 4
    • 0001099537 scopus 로고
    • Topology and geometry of single hidden layer network, least squares weight solutions
    • F. M. Coetzee and V. L. Stonick. Topology and geometry of single hidden layer network, least squares weight solutions. Neural Computation, 7:672-705, 1995.
    • (1995) Neural Computation , Issue.7 , pp. 672-705
    • Coetzee, F.M.1    Stonick, V.L.2
  • 5
    • 43949154615 scopus 로고
    • Bounds on the number of units for computing arbitrary dichotomies by multilayer perceptrons
    • M. Cosnard, P. Koiran, and H. Paugam-Moisy. Bounds on the number of units for computing arbitrary dichotomies by multilayer perceptrons. J. of Complexity, 10:57-63, 1994.
    • (1994) J. of Complexity , vol.10 , pp. 57-63
    • 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
    • 0345396052 scopus 로고    scopus 로고
    • Size of multilayer networks for exact learning: Analytic approach
    • LIP July
    • A. Elisseeff and H. Paugam-Moisy. Size of multilayer networks for exact learning: analytic approach. Rapport de recherche 96-16, LIP, July 1996.
    • (1996) Rapport de Recherche , pp. 96-16
    • Elisseeff, A.1    Paugam-Moisy, H.2
  • 8
    • 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. Neuml Networks, 2(3):183 192, 1989.
    • (1989) Neuml Networks , vol.2 , Issue.3 , pp. 183-192
    • Funahashi, K.1
  • 9
    • 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
  • 10
    • 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
  • 13
    • 0027224339 scopus 로고
    • Bounds for the computational power and learning complexity of analog neural networks
    • W. Maass. Bounds for the computational power and learning complexity of analog neural networks. In 25th ACM Symposium on Theory of Computing, pages 335-344, 1993.
    • (1993) 25th ACM Symposium on Theory of Computing , pp. 335-344
    • Maass, W.1
  • 14
    • 0026904597 scopus 로고
    • Feedforward nets for interpolation and classification
    • E. D. Sontag. Feedforward nets for interpolation and classification. J. Comp. Syst. Sci., 45:20-48, 1992.
    • (1992) J. Comp. Syst. Sci. , vol.45 , pp. 20-48
    • Sontag, E.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.