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Volumn 1, Issue 1, 2006, Pages 76-82

Function approximation using feedforward networks with sigmoidal signals

Author keywords

Feedforward networks; Function approximation; Left Sigmoidal; Right sigmoidal

Indexed keywords


EID: 70350053809     PISSN: 18169503     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (9)
  • 1
    • 0029207175 scopus 로고
    • Approximation Capability in C(Rn) by Multilayer Feedforward Networks and Related Problems
    • Chen, T.H. ChenandR.W. Liu, 1995. 'Approximation Capability in C(Rn) by Multilayer Feedforward Networks and Related Problems', IEEE Transactions on Neural Network, 6: 25-29.
    • (1995) IEEE Transactions on Neural Network , vol.6 , pp. 25-29
    • Chen, T.H.C.1    Liu, R.W.2
  • 2
    • 0344509375 scopus 로고    scopus 로고
    • Comments in Approximation Capability in C(R ) by Multiplayer Feedforward Networks, and Related Problems
    • Huang, G.B. and H.A. Babri, 1998. Comments in Approximation Capability in C(R ) by Multiplayer Feedforward Networks and Related Problems'. IEEE Transactions on Neural Networks, 9: 714-715.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 714-715
    • Huang, G.B.1    Babri, H.A.2
  • 3
    • 0031673055 scopus 로고    scopus 로고
    • Upper Bounds on the Number of Hidden Neurons in Feedforward Networks with Arbitrary Bounded Nonlinear Activation Functions
    • Anonymous
    • Anonymous, 1998. 'Upper Bounds on the Number of Hidden Neurons in Feedforward Networks with Arbitrary Bounded Nonlinear Activation Functions', IEEE Transactions on Neural Networks, 9: 224-229.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 224-229
  • 4
    • 0001321136 scopus 로고
    • On the representations of continuous functions of many variables by superposition of continuous functions of one variable, and addition
    • Enghsh Translation: Amer. Math. Soc. Transl, 2: 55-59
    • Kalmogorov, AN., 1963. On the representations of continuous functions of many variables by superposition of continuous functions of one variable, and addition. Doklady Akademy Nauk SSSR, 114(1957), 953-956.Enghsh Translation: Amer. Math. Soc. Transl, 2: 55-59.
    • (1963) Doklady Akademy Nauk SSSR , vol.114 , Issue.1957 , pp. 953-956
    • Kalmogorov, A.N.1
  • 5
    • 0024866495 scopus 로고
    • On the Approximate Realization of Continuous Mapping by Neural Networks
    • Funahashi, K.I., 1989. On the Approximate Realization of Continuous Mapping by Neural Networks, Neural Networks, 2: 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.I.1
  • 6
    • 0024880831 scopus 로고
    • Multi-layer feed forward networks are Universal approximators
    • Hornik. K., M. Stinchcombe, and H. White, 1989. Multi-layer feed forward networks are Universal approximators. Neural Networks, 2: 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 7
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal functions
    • Cybenko, G., 1989. Approximation by superpositions of a sigmoidal functions. Math. Contr. Signals. Syst, 2: 303-314.
    • (1989) Math. Contr. Signals. Syst , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 8
    • 0026627415 scopus 로고
    • Kolmogorv's Theorem a Multilayer Neural Networks
    • Verakurkov, A., 1992. Kolmogorv's Theorem a Multilayer Neural Networks. Neural Networks, 5: 501-506.
    • (1992) Neural Networks , vol.5 , pp. 501-506
    • Verakurkov, A.1
  • 9
    • 0026479224 scopus 로고
    • Approximation of continuous functions in Rd by linear combinations of shifted Rotations of a sigmoidal function with, and without scaling
    • Ito, Y., 1992. Approximation of continuous functions in Rd by linear combinations of shifted Rotations of a sigmoidal function with, and without scaling. Neural Networks, 5: 105-115.
    • (1992) Neural Networks , vol.5 , pp. 105-115
    • Ito, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.