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Volumn 8, Issue 2, 1993, Pages 44-53

Diagnosing Dynamic Faults Using Modular Neural Nets

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0001941795     PISSN: 08859000     EISSN: None     Source Type: Journal    
DOI: 10.1109/64.207428     Document Type: Article
Times cited : (37)

References (13)
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  • 2
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    • A Neural Network Methodology for Process Fault Diagnosis
    • V. Venkatasubramanian and K.Chan, “A Neural Network Methodology for Process Fault Diagnosis,” A1CHE J., Vol. 35, No. 12, 1989, pp. 1,993-2,002.
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    • Venkatasubramanian, V.1    Chan, K.2
  • 3
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    • Diagnosis Using Backpropagation Neural Networks: Analysis and Criticism
    • M.A. Kramer and J.A. Leonard, “Diagnosis Using Backpropagation Neural Networks: Analysis and Criticism,” Computers & Chemical Eng., Vol. 14, No. 12, 1990, pp. 1,323-1,338.
    • (1990) Computers & Chemical Eng. , vol.14 , Issue.12 , pp. 1,323-1,338
    • Kramer, M.A.1    Leonard, J.A.2
  • 4
    • 0026135904 scopus 로고
    • Radial Basis Function Networks for Classifying Process Faults
    • J.A. Leonard and M.A. Kramer, “Radial Basis Function Networks for Classifying Process Faults,” IEEE Control Systems Magazine, Vol. 11, No. 3, 1991, pp. 31–38.
    • (1991) IEEE Control Systems Magazine , vol.11 , Issue.3 , pp. 31-38
    • Leonard, J.A.1    Kramer, M.A.2
  • 5
    • 0024922715 scopus 로고
    • Phoneme Classification Experiments Using Radial Basis Functions
    • IEEE CS Press, Los Alamitos, Calif.
    • S. Renals and R. Rohwer, “Phoneme Classification Experiments Using Radial Basis Functions,” Proc. Intl. Joint Conf. Neural Networks, Vol. I, IEEE CS Press, Los Alamitos, Calif., 1989, pp. 461–467.
    • (1989) Proc. Intl. Joint Conf. Neural Networks , vol.I , pp. 461-467
    • Renals, S.1    Rohwer, R.2
  • 6
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    • Using Radial Basis Functions to Approximate a Function and its Error Bounds
    • J.A. Leonard, M.A. Kramer, and L.H. Ungar, “Using Radial Basis Functions to Approximate a Function and its Error Bounds,” IEEE Trans. Neural Networks, Vol. 3, No. 4, 1991, pp. 624–627.
    • (1991) IEEE Trans. Neural Networks , vol.3 , Issue.4 , pp. 624-627
    • Leonard, J.A.1    Kramer, M.A.2    Ungar, L.H.3
  • 7
    • 0000672424 scopus 로고
    • Fast Learning in Networks of Locally Tuned Processing Units
    • J. Moody and C.J. Darken, “Fast Learning in Networks of Locally Tuned Processing Units,” Neural Computation, Vol. 1, No. 2, 1989, pp. 281–294.
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 8
    • 0003932630 scopus 로고
    • Computer Systems that Learn
    • Morgan Kaufmann, San Mateo, Calif.
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    • Weiss, S.M.1    Kulikowski, C.A.2
  • 9
    • 0025682699 scopus 로고
    • A Robust Event-Oriented Methodology for Diagnosis of Dynamic Process Systems
    • F.E. Finch, O.O. Oyeleye, and M.A. Kramer, “A Robust Event-Oriented Methodology for Diagnosis of Dynamic Process Systems,” Computers & Chemical Eng., Vol. 14, No. 12, 1990. pp. 1,379-1,396.
    • (1990) Computers & Chemical Eng. , vol.14 , Issue.12 , pp. 1,379-1,396
    • Finch, F.E.1    Oyeleye, O.O.2    Kramer, M.A.3
  • 10
    • 0025206332 scopus 로고
    • Probabilistic Neural Networks
    • D.F. Specht, “Probabilistic Neural Networks,” Neural Networks, Vol. 3, No. 1, 1990, pp. 109–118.
    • (1990) Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Specht, D.F.1
  • 11
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    • On Estimation of a Probability Density Function and Mode
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  • 12
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    • A Neural Network Approach to Statistical Pattern Classification by Semiparametric Estimation of Probability Density Functions
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    • (1991) IEEE Trans. Neural Networks , vol.3 , pp. 366-377
    • Tråvén, H.G.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.