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Volumn 21, Issue 5, 1999, Pages 423-429

A new training method for hybrid models of bioprocesses

Author keywords

[No Author keywords available]

Indexed keywords

AMMONIA; GLUCOSE; GLUTAMINE; LACTIC ACID;

EID: 0032756261     PISSN: 0178515X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s004490050697     Document Type: Article
Times cited : (15)

References (11)
  • 2
    • 0028484335 scopus 로고
    • Modelling chemical processes using prior knowledge and neural networks
    • 2. Thompson, M.; Kramer, M.: Modelling chemical processes using prior knowledge and neural networks. AIChE J. 40 (1994) 1328-1340
    • (1994) AIChE J. , vol.40 , pp. 1328-1340
    • Thompson, M.1    Kramer, M.2
  • 3
    • 0027557151 scopus 로고
    • Grey-box modeling and identification using physical knowledge and bayesian techniques
    • 3. Tulleken, H.J.A.F.: Grey-box modeling and identification using physical knowledge and bayesian techniques. Automatica, 1993
    • (1993) Automatica
    • Tulleken, H.J.A.F.1
  • 5
    • 0026806616 scopus 로고
    • A hybrid neural network - First principles approach to process modeling
    • 5. Psichogios, D.; Ungar, L.: A hybrid neural network - first principles approach to process modeling, AIChE J. 38 (1992) 1499-1511
    • (1992) AIChE J. , vol.38 , pp. 1499-1511
    • Psichogios, D.1    Ungar, L.2
  • 6
    • 0009477637 scopus 로고
    • Applications of neural networks in process dynamics
    • A.B. Bulsari (ed.), Elsevier Science
    • 6. Bulsari, A.B.: Applications of neural networks in process dynamics, in A.B. Bulsari (ed.), Neural Networks for Chemical Engineers, Elsevier Science, 1995
    • (1995) Neural Networks for Chemical Engineers
    • Bulsari, A.B.1
  • 7
    • 0342683839 scopus 로고    scopus 로고
    • Analysis and comparison of input-output models in a recombinant fed-batch fermentation
    • 7. Saucedo, V.M.; Karim, M.N.: Analysis and comparison of input-output models in a recombinant fed-batch fermentation. J. Ferment. Bioeng. 83(1) (1997) 70-78
    • (1997) J. Ferment. Bioeng. , vol.83 , Issue.1 , pp. 70-78
    • Saucedo, V.M.1    Karim, M.N.2
  • 8
    • 0000646059 scopus 로고
    • Learning internal representation by error propagation
    • D.E. Rumelhart and J.L. McClelland (eds), MIT Press, Cambridge, MA
    • 8. Rumelhart, D.; Hinton, G.; Williams, R.: Learning internal representation by error propagation, in D.E. Rumelhart and J.L. McClelland (eds), Parallel Distributed Processing, Vol. 1, MIT Press, Cambridge, MA, 1986
    • (1986) Parallel Distributed Processing , vol.1
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 10
    • 0009535414 scopus 로고
    • Global vs. Local networks for identification and control: A case study of neutralization
    • A. Bulsari (ed.), Elsevier Science
    • 10. Karim, M.; Eikens, B.: Global vs. local networks for identification and control: A case study of neutralization, in A. Bulsari (ed.), Neural Networks for Chemical Engineers, Elsevier Science. 1995, pp. 489-514
    • (1995) Neural Networks for Chemical Engineers , pp. 489-514
    • Karim, M.1    Eikens, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.