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Volumn 87, Issue 10, 2008, Pages

Process modeling and optimization strategies integrating neural networks and differential evolution

Author keywords

[No Author keywords available]

Indexed keywords


EID: 55349116093     PISSN: 00188190     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (12)
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    • Tambe, S.S.1    Kulkarni, B.D.2    Deshpande, P.B.3
  • 2
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    • Applications of artificial neural networks in process engineering
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    • (1994) J.Syst. Engng , vol.4 , pp. 131-170
    • Bulsari, A.B.1
  • 4
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    • Catalyst design for methane oxidative coupling by using artificial neural network and hybrid genetic algorithm
    • Huang, K., X-L Zhan, F-Q Chen and D-W Lü "Catalyst design for methane oxidative coupling by using artificial neural network and hybrid genetic algorithm," Chem. Engg. Sci., Vol. 58, pp. 81-87, 2003.
    • (2003) Chem. Engg. Sci , vol.58 , pp. 81-87
    • Huang, K.1    Zhan, X.-L.2    Chen, F.-Q.3    Lü, D.-W.4
  • 5
    • 0030174471 scopus 로고    scopus 로고
    • Intelligent systems in process engineering: A review
    • Stephanopoulos, G. and C. Han, "Intelligent systems in process engineering: A review," Comp. & Chem. Engg., Vol. 20, pp. 743-791, 1996.
    • (1996) Comp. & Chem. Engg , vol.20 , pp. 743-791
    • Stephanopoulos, G.1    Han, C.2
  • 6
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • Rumelhart, D., G. Hinton and W. Williams, "Learning representations by backpropagating errors," Nature, 323, 533, 1986.
    • (1986) Nature , vol.323 , pp. 533
    • Rumelhart, D.1    Hinton, G.2    Williams, W.3
  • 7
    • 0003578240 scopus 로고
    • An empirical study of learning speed in back-propagation networks,
    • Technical Report CMU-CS-88-162, Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA
    • Fahlman, S. E., "An empirical study of learning speed in back-propagation networks," Technical Report CMU-CS-88-162, Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA, 1988.
    • (1988)
    • Fahlman, S.E.1
  • 8
    • 84943274699 scopus 로고
    • A direct adaptive method for faster back-propagation learning: The RPROP algorithm
    • San Francisco, California, Mar. 28-Apr. 1
    • Riedmiller, M. and H. Braun, "A direct adaptive method for faster back-propagation learning: the RPROP algorithm," Proc. of the IEEE Int. Conf. On Neural Networks, San Francisco, California, Mar. 28-Apr. 1, 1993.
    • (1993) Proc. of the IEEE Int. Conf. On Neural Networks
    • Riedmiller, M.1    Braun, H.2
  • 10
    • 0003054892 scopus 로고    scopus 로고
    • Differential evolution
    • Price, K. and R. Storn, "Differential evolution," Dr. Dobb.s J., pp. 18-24, 1997.
    • (1997) Dr. Dobb.s J , pp. 18-24
    • Price, K.1    Storn, R.2
  • 11
    • 0033611754 scopus 로고    scopus 로고
    • Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation
    • Babu, B. V and K. K. N. Sastry, "Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation," Comp. Chem. Engng., Vol. 23, pp. 327-339, 1999.
    • (1999) Comp. Chem. Engng , vol.23 , pp. 327-339
    • Babu, B.V.1    Sastry, K.K.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.