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Volumn 1240 LNCS, Issue , 1997, Pages 882-891

Statistical analysis of the main parameters in the definition of radial basis function networks

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); DIFFERENTIAL EQUATIONS; FUNCTIONS; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; STATISTICAL MECHANICS;

EID: 25144499903     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0032548     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 1
    • 0029306750 scopus 로고
    • Learning without local minima in radial basis function networks
    • May
    • M. Bianchini, P. Frasconi, M. Gori, "Learning without Local Minima in Radial Basis Function Networks", IEEE Transaction on Neural Networks, vol. 6, no. 3, pp.749-756, May 1995.
    • (1995) IEEE Transaction on Neural Networks , vol.6 , Issue.3 , pp. 749-756
    • Bianchini, M.1    Frasconi, P.2    Gori, M.3
  • 2
    • 0001177599 scopus 로고    scopus 로고
    • Median radial basis function neural network
    • November
    • A.G. Bors, I. Pitas, "Median Radial Basis Function Neural Network", IEEE Transaction on Neural Networks, vol. 7, no.6, pp.1351-1364, November 1996.
    • (1996) IEEE Transaction on Neural Networks , vol.7 , Issue.6 , pp. 1351-1364
    • Bors, A.G.1    Pitas, I.2
  • 3
    • 0001018295 scopus 로고
    • Multiquadratic equations of topography and other irregular surfaces
    • R.L. Hardy "Multiquadratic equations of topography and other irregular surfaces" J.Geophys. Res., vol.76, pp.1905-1915, 1971.
    • (1971) J.Geophys. Res. , vol.76 , pp. 1905-1915
    • Hardy, R.L.1
  • 6
    • 0030196823 scopus 로고    scopus 로고
    • Comparison of adaptive methods for function estimation from samples
    • V. Cherkassky, D. Gehring, F. Mulier, "Comparison of Adaptive Methods for Function Estimation from Samples", IEEE Tran. on Neural Networks, vol.7, no.4, pp.969-984, 1996.
    • (1996) IEEE Tran. on Neural Networks , vol.7 , Issue.4 , pp. 969-984
    • Cherkassky, V.1    Gehring, D.2    Mulier, F.3
  • 8
    • 0028465208 scopus 로고
    • Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems
    • S. Elanayar, Y.C. Shin, "Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems", IEEE Tran. on Neural Networks, Vol. 5, No.4, pp.594-603, 1994.
    • (1994) IEEE Tran. on Neural Networks , vol.5 , Issue.4 , pp. 594-603
    • Elanayar, S.1    Shin, Y.C.2
  • 10
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody, C. Darken, "Fast learning in networks of locally-tuned processing units", Neural Computa., vol. 1, no. 2, pp.281-294, 1989.
    • (1989) Neural Computa , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 11
    • 0000106040 scopus 로고
    • Universal approximation using radial basis function networks
    • J. Park, I.W.Sandberg, "Universal Approximation Using Radial Basis Function Networks", Neural Computation, Vol.3, pp.246-247, 1991.
    • (1991) Neural Computation , vol.3 , pp. 246-247
    • Park, J.1    Sandberg, I.W.2
  • 12
    • 0030197198 scopus 로고    scopus 로고
    • Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
    • July
    • B.A. Whitehead, Tinothy, D. Choate, "Cooperative-Competitive Genetic Evolution of Radial Basis Function Centers and Widths for Time Series Prediction", IEEE Transaction on Neural Networks, vol.7, no.4, pp.869-880, July, 1996.
    • (1996) IEEE Transaction on Neural Networks , vol.7 , Issue.4 , pp. 869-880
    • Tinothy, D.C.1    Whitehead, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.