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Volumn 20, Issue 10, 1996, Pages 1159-1176

Resolving problems in closed loop nonlinear process identification using IRN

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL OPERATIONS; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; DISTILLATION COLUMNS; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PROBLEM SOLVING;

EID: 0030269091     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(95)00243-x     Document Type: Article
Times cited : (7)

References (18)
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    • Dynamic data rectification using the extended Kalman filter and recurrent neural networks
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    • Karjala, T.1    Himmelblau, D.2
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    • Kresta, J.1    Marlin, T.2    MacGregor, J.3
  • 9
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    • Some comments on neural networks and other empirical modelling methods
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    • MacGregor, J., T. Marlin and J. Kresta, Some comments on neural networks and other empirical modelling methods, In Y. Arkun and W. Ray (eds) Chemical Process Control-CPCIV, pp. 665-672. AIChE, New York (1991).
    • (1991) Chemical Process Control-CPCIV , pp. 665-672
    • MacGregor, J.1    Marlin, T.2    Kresta, J.3
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    • On-line closed-loop identification of multivariable systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.