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Volumn 42, Issue 8, 1996, Pages 2225-2239

Dynamic Rectification of Data via Recurrent Neural Nets and the Extended Kalman Filter

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; ESTIMATION; KALMAN FILTERING; MATHEMATICAL MODELS; MEASUREMENT ERRORS; NEURAL NETWORKS; PROBLEM SOLVING; PROCESS ENGINEERING; SPURIOUS SIGNAL NOISE; STATE SPACE METHODS;

EID: 0030216387     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.690420812     Document Type: Article
Times cited : (34)

References (21)
  • 1
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    • Alouani, A.1    Xia, P.2    Rice, T.3    Blair, W.D.4
  • 2
    • 0001693640 scopus 로고
    • The Identification of Nonlinear Dynamic Processes with Unknown and Variable Dead Time Using Internally Recurrent Networks
    • Cheng, Y., T. W. Karjala, and D. M. Himmelblau, "The Identification of Nonlinear Dynamic Processes with Unknown and Variable Dead Time Using Internally Recurrent Networks," Ind. Eng. Chem. Res., 34(5), 1735 (1995).
    • (1995) Ind. Eng. Chem. Res. , vol.34 , Issue.5 , pp. 1735
    • Cheng, Y.1    Karjala, T.W.2    Himmelblau, D.M.3
  • 4
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    • Treatment of Bias in Recursive Filtering
    • Friedland, B., "Treatment of Bias in Recursive Filtering," IEEE Trans. Automat. Contr., AC-14, 359 (1969).
    • (1969) IEEE Trans. Automat. Contr. , vol.AC-14 , pp. 359
    • Friedland, B.1
  • 8
    • 0028543466 scopus 로고
    • Dynamic Data Rectification via Recurrent Neural Networks vs. Traditional Methods
    • Karjala, T. W., and D. M. Himmelblau, "Dynamic Data Rectification via Recurrent Neural Networks vs. Traditional Methods," AIChE J., 40(11), 1865 (1994a).
    • (1994) AIChE J. , vol.40 , Issue.11 , pp. 1865
    • Karjala, T.W.1    Himmelblau, D.M.2
  • 9
    • 0028733246 scopus 로고
    • Dynamic Data Rectification Using the Extended Kalman Filter and Recurrent Neural Networks
    • Orlando, FL
    • Karjala, T. W., and D. M. Himmelblau, "Dynamic Data Rectification Using the Extended Kalman Filter and Recurrent Neural Networks," Proc. IEEE-ICNN, Vol. V, Orlando, FL, p. 3244 (1994b).
    • (1994) Proc. IEEE-ICNN , vol.5 , pp. 3244
    • Karjala, T.W.1    Himmelblau, D.M.2
  • 10
    • 85114012408 scopus 로고
    • Data Rectification using Recurrent (Elman) Neural Networks
    • Baltimore
    • Karjala, T. W., D. M. Himmelblau, and R. Miikkulainen, "Data Rectification using Recurrent (Elman) Neural Networks," Proc. IEEE-IJCNN, Vol. II, Baltimore, p. 901 (1992).
    • (1992) Proc. IEEE-IJCNN , vol.2 , pp. 901
    • Karjala, T.W.1    Himmelblau, D.M.2    Miikkulainen, R.3
  • 11
    • 0025464994 scopus 로고
    • Robust Error-in-Variables Estimation Using Nonlinear Programming Techniques
    • Kim, I.-W., M. J. Liebman, and T. F. Edgar, "Robust Error-in-Variables Estimation Using Nonlinear Programming Techniques,AIChE J., 36(7), 985 (1990).
    • (1990) AIChE J. , vol.36 , Issue.7 , pp. 985
    • Kim, I.-W.1    Liebman, M.J.2    Edgar, T.F.3
  • 17
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    • Nonlinear Model Predictive Control of a Packed Distillation Column
    • Patwardhan, A. A., and T. F. Edgar, "Nonlinear Model Predictive Control of a Packed Distillation Column," Ind. Eng. Chem. Res., 32(10), 2345 (1993).
    • (1993) Ind. Eng. Chem. Res. , vol.32 , Issue.10 , pp. 2345
    • Patwardhan, A.A.1    Edgar, T.F.2
  • 19
    • 0019610533 scopus 로고
    • Identification of Stochastic Linear Systems in Presence of Input Noise
    • Söderström, T., "Identification of Stochastic Linear Systems in Presence of Input Noise," Automatica, 17, 713 (1981).
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    • Söderström, T.1
  • 20
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  • 21
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    • Extension of Friedland's Separate-Bias Estimation to Randomly Time-Varying Bias of Nonlinear Systems
    • Zhou, D., Y. X. Sun, Y. G. Xi, and Z. J. Zhang, "Extension of Friedland's Separate-Bias Estimation to Randomly Time-Varying Bias of Nonlinear Systems," IEEE Trans. Automat. Contr., AC-38, 1270 (1993).
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    • Zhou, D.1    Sun, Y.X.2    Xi, Y.G.3    Zhang, Z.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.