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Volumn 1857 LNCS, Issue , 2000, Pages 147-156

A hybrid projection based and Radial Basis Function architecture

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; HEAT CONDUCTION; IMAGE SEGMENTATION; NETWORK ARCHITECTURE; RADIAL BASIS FUNCTION NETWORKS;

EID: 0037776084     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45014-9_14     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 2
    • 0002531537 scopus 로고
    • Projection-based approximation and a duality with kernel methods
    • D. L. Donoho and I. M. Johnstone. Projection-based approximation and a duality with kernel methods. Annals of Statistics, 17:58-106, 1989.
    • (1989) Annals of Statistics , vol.17 , pp. 58-106
    • Donoho, D.L.1    Johnstone, I.M.2
  • 4
    • 0002717824 scopus 로고    scopus 로고
    • Square unit augmented, radially extended, multilayer percpetrons
    • G. B. Orr and K. Müller, editors Springer
    • G. W. Flake. Square unit augmented, radially extended, multilayer percpetrons. In G. B. Orr and K. Müller, editors, Neural Networks: Tricks of the Trade, pages 145-163. Springer, 1998.
    • (1998) Neural Networks: Tricks of the Trade , pp. 145-163
    • Flake, G.W.1
  • 5
    • 0002432565 scopus 로고
    • Mutltivariate adaptive regression splines
    • J. H. Friedman. Mutltivariate adaptive regression splines. The Annals of Statistics, 19:1-141, 1991.
    • (1991) The Annals of Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 8
    • 0010605802 scopus 로고
    • Function approximation using multi-layered neural networks and b-spline receptive fields
    • R. P. Lippmann, J. E. Moody, and D. S. Touretzky, editors San Mateo, CA Morgan Kaufmann
    • S. Lane, D. Handelman, J. Gelfand, and M. Flax. Function approximation using multi-layered neural networks and b-spline receptive fields. In R. P. Lippmann, J. E. Moody, and D. S. Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, pages 684-693, San Mateo, CA, 1991. Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 684-693
    • Lane, S.1    Handelman, D.2    Gelfand, J.3    Flax, M.4
  • 10
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • D. J. C. MacKay. Bayesian interpolation. Neural Computation, 4(3):415-447, 1992.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.J.C.1
  • 14
    • 0023843391 scopus 로고
    • Analysis of hidden units in a layered network trained to classify sonar targets
    • Gorman R. P. and Sejnowski T. J. Analysis of hidden units in a layered network trained to classify sonar targets. Neural Network, pages 75-89, 1988. Vol. 1.
    • (1988) Neural Network , vol.1 , pp. 75-89
    • Gorman, R.P.1    Sejnowski, T.J.2
  • 16
    • 0000646059 scopus 로고
    • Learninginternal representations by error propagation
    • D. E. Rumelhart and J. L. McClelland, editors MIT Press, Cambridge, MA
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learninginternal representations by error propagation. In D. E. Rumelhart and J. L. McClelland, editors, Parallel Distributed Processing, volume 1, pages 318-362. MIT Press, Cambridge, MA, 1986.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 18
    • 0001719983 scopus 로고
    • The dimensionality reduction principle for generalized additive models
    • C. J. Stone. The dimensionality reduction principle for generalized additive models. The Annals of Statistics, 14:590-606, 1986.
    • (1986) The Annals of Statistics , vol.14 , pp. 590-606
    • Stone, C.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.