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Volumn 16, Issue 2, 1999, Pages 60-71

Comparing neural network approximations for different functional forms

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FUNCTIONS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS;

EID: 0032648867     PISSN: 02664720     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-0394.00096     Document Type: Article
Times cited : (9)

References (11)
  • 3
    • 21744442261 scopus 로고    scopus 로고
    • Layered neural networks as universal approximators
    • CIUCA, I. and J.A. WARE (1997) Layered neural networks as universal approximators, Lecture Notes in Computer Science, 1226, 411-415.
    • (1997) Lecture Notes in Computer Science , vol.1226 , pp. 411-415
    • Ciuca, I.1    Ware, J.A.2
  • 5
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoid function
    • CYBENKO, G. (1989) Approximation by superpositions of a sigmoid function, Mathematics of Control, Signals and Systems, 2, 303-314.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 6
    • 0024880831 scopus 로고
    • Multi-layer feedforward networks are universal approximators
    • HORNIK, K., M. STINCHCOMBE and H. WHITE (1989) Multi-layer feedforward networks are universal approximators, Neural Networks, 2(5), 359-366.
    • (1989) Neural Networks , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 7
    • 0013448852 scopus 로고
    • Approximation capability of layered neural networks with sigmoid units on two layers
    • ITO Y. (1994) Approximation capability of layered neural networks with sigmoid units on two layers, Neural Computation, 6, 1233-1243.
    • (1994) Neural Computation , vol.6 , pp. 1233-1243
    • Ito, Y.1
  • 8
    • 0026627415 scopus 로고
    • Kolmogorov's theorem and multi-layer neural networks
    • KURKOVA, V. (1992) Kolmogorov's theorem and multi-layer neural networks, Neural Networks, 5, 501-506.
    • (1992) Neural Networks , vol.5 , pp. 501-506
    • Kurkova, V.1
  • 9
    • 0030218684 scopus 로고    scopus 로고
    • A constructive design method for two layer perceptrons and its application to the design of modular neural networks
    • MOON, Y.-J. and S.-Y. OH (1996) A constructive design method for two layer perceptrons and its application to the design of modular neural networks, Expert Systems, 13(3), 183-194.
    • (1996) Expert Systems , vol.13 , Issue.3 , pp. 183-194
    • Moon, Y.-J.1    Oh, S.-Y.2
  • 10
    • 0008561558 scopus 로고
    • Self-organisation as an iterative kernel smoothing process
    • MULIER, F. and V. CHERKASSY (1995) Self-organisation as an iterative kernel smoothing process, Neural Computation, 8, 164-177.
    • (1995) Neural Computation , vol.8 , pp. 164-177
    • Mulier, F.1    Cherkassy, V.2
  • 11
    • 0031100287 scopus 로고    scopus 로고
    • Capabilities of a four-layered feedforward neural network: Four layers versus three
    • TAMURA, S. and M. TATEISHI (1997) Capabilities of a four-layered feedforward neural network: four layers versus three, IEEE Transactions on Neural Networks, 8, 251-255.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 251-255
    • Tamura, S.1    Tateishi, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.