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Volumn 4, Issue 1, 1993, Pages 164-166

Conventional Modeling of the Multilayer Perceptron Using Polynomial Basis Functions

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC FILTERS; FUNCTION EVALUATION; POLYNOMIALS; SIGNAL FILTERING AND PREDICTION;

EID: 0027208467     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.182712     Document Type: Article
Times cited : (42)

References (17)
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  • 2
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  • 3
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    • Chen, M.S.1    Manry, M.T.2
  • 4
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    • Power series analyses of Backpropagation neural networks
    • Seattle, WA
    • M.S. Chen and M.T. Manry, “Power series analyses of Backpropagation neural networks,” in Proc. IJCNN ′91, Seattle, WA, pp. I-295 to I-300.
    • Proc. IJCNN ′91 , pp. I-295-I-300
    • Chen, M.S.1    Manry, M.T.2
  • 5
    • 84941472754 scopus 로고
    • Implementation of polynomial discriminant functions on Backpropagation paradigm
    • Dallas, TX, Sept. 11-13
    • M.S. Chen and M.T. Manry, “Implementation of polynomial discriminant functions on Backpropagation paradigm,” Conf. Record of Midcon 1990, Dallas, TX, Sept. 11-13, pp. 414–417.
    • (1990) Conf. Record of Midcon , pp. 414-417
    • Chen, M.S.1    Manry, M.T.2
  • 6
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    • Multilayered neural networks and Volterra Series: The missing link
    • Pittsburgh, PA, Aug.
    • G. Govind and P.A. Ramamoorthy, “Multilayered neural networks and Volterra Series: The missing link,” in Proc. Int. Conf. Systems Engineering, Pittsburgh, PA, Aug. 1990.
    • (1990) Proc. Int. Conf. Systems Engineering
    • Govind, G.1    Ramamoorthy, P.A.2
  • 7
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    • ANN modeling of volterra systems
    • Seattle WA, pp. II
    • G.W. Davis and M.L. Gasperi, “ANN modeling of volterra systems,” in Proc. IJCNN ′91, Seattle WA, pp. II 727–734.
    • Proc. IJCNN ′91 , pp. 727-734
    • Davis, G.W.1    Gasperi, M.L.2
  • 8
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D.E. Rumelhart and J.L. McClelland, Eds. vol. I. Cambridge, MA: MIT Press
    • D.E. Rumelhart, G.E. Hinton, and R.J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing, D.E. Rumelhart and J.L. McClelland, Eds. vol. I. Cambridge, MA: MIT Press, 1986.
    • (1986) Parallel Distributed Processing
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 11
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    • Probabilistic neural networks and the polynomial adaline as complimentary techniques for classification
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    • Specht, D.F.1
  • 12
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    • A digital method of modeling quadratically nonlinear systems with a general random input
    • Nov.
    • K.I. Kim and E.J. Powers, “A digital method of modeling quadratically nonlinear systems with a general random input,” IEEE Trans. Acous., Speech, Signal Processing, vol. 36, pp. 1758–1769, Nov. 1988.
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  • 16
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    • Wan, E.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.