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Volumn 90, Issue 1, 1998, Pages 27-51

Approximating polynomial functions by feedforward artificial neural networks: Capacity analysis and design

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EID: 0001934378     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0096-3003(96)00338-4     Document Type: Article
Times cited : (40)

References (16)
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  • 3
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    • Bounds on the number of hidden neurons in multiple perceptrons
    • S. C. Huang and Y. F. Huang, Bounds on the number of hidden neurons in multiple perceptrons. IEEE Trans, on Neural Networks 2(1) (1991).
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    • A simple method to derive bounds on the size and to train multilayer neural networks
    • M. A. Sartori and P. J. Antsaklis, A simple method to derive bounds on the size and to train multilayer neural networks. IEEE Trans. on Neural Networks 2(4) (1991).
    • (1991) IEEE Trans. on Neural Networks , vol.2 , Issue.4
    • Sartori, M.A.1    Antsaklis, P.J.2
  • 9
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    • Adaptive feedforward artificial neural networks with the applications to multiple criteria decision making
    • B. Malakooti and Y. Zhou, Adaptive feedforward artificial neural networks with the applications to multiple criteria decision making. Proceedings of IEEE Conf. on SMC, California. 1990, p. 164.
    • (1990) Proceedings of IEEE Conf. on SMC, California , pp. 164
    • Malakooti, B.1    Zhou, Y.2
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    • An adaptive feedforward artificial neural network with application to multiple criteria decision making
    • B. Malakooti and Y. Zhou, An adaptive feedforward artificial neural network with application to multiple criteria decision making. Management Science 40(11):1542-1561 (1994).
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    • Malakooti, B.1    Zhou, Y.2
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    • A feedforward neural network for multiple criteria decision making
    • J. Wang and B. Malakooti, A feedforward neural network for multiple criteria decision making, Computers and Operations Research 19(2): 151-167 (1992).
    • (1992) Computers and Operations Research , vol.19 , Issue.2 , pp. 151-167
    • Wang, J.1    Malakooti, B.2
  • 13
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    • A recursive ANN for solving adaptive multiple criteria problems
    • B. Malakooti and Y. Zhou, A recursive ANN for solving adaptive multiple criteria problems, Pure Mathematics and Applications Series C 2(2-4): 165-176 (1991).
    • (1991) Pure Mathematics and Applications Series C , vol.2 , Issue.2-4 , pp. 165-176
    • Malakooti, B.1    Zhou, Y.2
  • 14
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    • Characterization of training errors in supervised learning using gradient-based learning rules
    • J. Wang and B. Malakooti, Characterization of training errors in supervised learning using gradient-based learning rules, Neural Networks, 6(8):1073-1087 (1993).
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    • Wang, J.1    Malakooti, B.2
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    • In-process regressions and adaptive neural networks for monitoring and supervising machining operations
    • B. Malakooti, Y. Zhou, and E. C. Tandler, In-process regressions and adaptive neural networks for monitoring and supervising machining operations, Journal of Intelligent Manufacturing, 6:53-66 (1995).
    • (1995) Journal of Intelligent Manufacturing , vol.6 , pp. 53-66
    • Malakooti, B.1    Zhou, Y.2    Tandler, E.C.3
  • 16
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    • A variable-parameter unsupervised learning clustering neural for machine part group formation
    • B. Malakooti and Z. Yang, A variable-parameter unsupervised learning clustering neural for machine part group formation, International Journal of Production Research, 33(9):2395-2413 (1995).
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    • Malakooti, B.1    Yang, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.