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Volumn 78, Issue 7 K, 1999, Pages 89-97

Consider genetic programming for process identification

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0001796603     PISSN: 00188190     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (13)
  • 1
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    • Nonlinear internal model control strategy for network models
    • Nahas, E., M. Henson and D. Seborg, "Nonlinear internal model control strategy for network models," Computers Chem. Eng., 16, pp. 1039-1057, 1992.
    • (1992) Computers Chem. Eng. , vol.16 , pp. 1039-1057
    • Nahas, E.1    Henson, M.2    Seborg, D.3
  • 2
    • 0026954775 scopus 로고
    • Neural networks for control systems - A survey
    • Hunt, K., D. Sbarbaro, R. Zbikowski and P. Gawthrop, "Neural networks for control systems - a survey," Automatica 28, pp.1083-1112, 1992.
    • (1992) Automatica , vol.28 , pp. 1083-1112
    • Hunt, K.1    Sbarbaro, D.2    Zbikowski, R.3    Gawthrop, P.4
  • 4
    • 58849083641 scopus 로고    scopus 로고
    • Elements of artificial neural networks with selected applications in chemical engineering, and chemical and biological sciences
    • Inc., Louisville, Kentucky
    • Tambe, S. S., B. D. Kulkarni and P. B. Deshpande, "Elements of artificial neural networks with selected applications in chemical engineering, and chemical and biological sciences," Simulation and Advanced Controls, Inc., Louisville, Kentucky, 1996.
    • (1996) Simulation and Advanced Controls
    • Tambe, S.S.1    Kulkarni, B.D.2    Deshpande, P.B.3
  • 5
    • 0004139835 scopus 로고
    • MIT Press, Cambridge, Massachusetts
    • Koza, J. R., Genetic Programming II, MIT Press, Cambridge, Massachusetts, 1994.
    • (1994) Genetic Programming II
    • Koza, J.R.1
  • 8
    • 0031257496 scopus 로고    scopus 로고
    • Operational optimization of an industrial cogeneration system by a genetic algorithm
    • Manolas, D. A., C. A. Frangopoulos, T. P. Gialasmas and D. T. Tsahalis, "Operational optimization of an industrial cogeneration system by a genetic algorithm," Energy Confers. Mgmt., 38(15-17), pp. 1625-1636, 1997.
    • (1997) Energy Confers. Mgmt. , vol.38 , Issue.15-17 , pp. 1625-1636
    • Manolas, D.A.1    Frangopoulos, C.A.2    Gialasmas, T.P.3    Tsahalis, D.T.4
  • 9
    • 0029719815 scopus 로고    scopus 로고
    • A genetic algorithm optimization technique for compact high intensity cooler design
    • Schmit, T. S., A. K. Dhingra, F. Landis and G. Kojasoy, "A genetic algorithm optimization technique for compact high intensity cooler design," J. Enhanced Heat Trans., 3(4), pp. 281-290, 1996.
    • (1996) J. Enhanced Heat Trans. , vol.3 , Issue.4 , pp. 281-290
    • Schmit, T.S.1    Dhingra, A.K.2    Landis, F.3    Kojasoy, G.4
  • 10
    • 0031100934 scopus 로고    scopus 로고
    • Forecasting chaotic time series with genetic algorithms
    • Szpiro, G. G., "Forecasting chaotic time series with genetic algorithms," Phys. Rev. E, 55(3), pp. 2557-2568, 1997.
    • (1997) Phys. Rev. E , vol.55 , Issue.3 , pp. 2557-2568
    • Szpiro, G.G.1
  • 11
    • 0031153078 scopus 로고    scopus 로고
    • Steady-state modelling of chemical process systems using genetic programming
    • McKay, B., M. Willis and G. W. Barton, "Steady-state modelling of chemical process systems using genetic programming," Computers Chem. Eng., 21 (9), pp. 981-996, 1997.
    • (1997) Computers Chem. Eng. , vol.21 , Issue.9 , pp. 981-996
    • McKay, B.1    Willis, M.2    Barton, G.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.