메뉴 건너뛰기




Volumn 23, Issue SUPPL. 1, 1999, Pages

Comparison of methods for training grey-box neural network models

Author keywords

Fermentation; Grey box model; Kinetic rate expression; Neural network

Indexed keywords

CORROSION; DIFFERENTIAL EQUATIONS; FERMENTATION; NEURAL NETWORKS;

EID: 0012355497     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(99)80138-0     Document Type: Conference Paper
Times cited : (26)

References (8)
  • 1
    • 0001044176 scopus 로고
    • Neural networks and their applications
    • Bishop C.M. (1994). Neural networks and their applications. Rev. Sci. Instrum. 65, 1803-1832.
    • (1994) Rev. Sci. Instrum , vol.65 , pp. 1803-1832
    • Bishop, C.M.1
  • 2
    • 0030152147 scopus 로고    scopus 로고
    • Hybrid-Neural Modellingfor Particulate SolidDrying Processes
    • CubiIlos, FA, Alvarez, PI, Pinto, JC and Lima, EL (1996).Hybrid-Neural Modellingfor Particulate SolidDrying Processes. Powder Technology 87, 153·160.
    • (1996) Powder Technology , vol.87 , Issue.153 , pp. 160
    • CubiIlos, F.A.1    Alvarez, P.I.2    Pinto, J.C.3    Lima, E.L.4
  • 3
    • 0002449810 scopus 로고
    • Semi-Empirical Modeling of .Non-Linear Dynamic Systems Through Identification of Operating Regimes and Locals Models
    • K Hunt, G Irwin and K Warnick, Eds., Springer-Verlag
    • Johansen, TA and Foss, BA (1995). Semi-Empirical Modeling of .Non-Linear Dynamic Systems Through Identification of Operating Regimes and Locals Models. In: Neural Network Engineering in Control Systems, K Hunt, G Irwin and K Warnick, Eds., pp 105-126, Springer-Verlag
    • (1995) Neural Network Engineering in Control Systems , pp. 105-126
    • Johansen, T.A.1    Foss, B.A.2
  • 4
    • 0031172546 scopus 로고    scopus 로고
    • Application of artificial neural networks for crossflow microfiltration modelling: black-box and semi-physical approaches
    • Piron, E, Latrille,E and Rene, F (1997). Application of artificial neural networks for crossflow microfiltration modelling: "black-box" and semi-physical approaches. Computers Chem Engng. 21, 1021-1030.
    • (1997) Computers Chem Engng , vol.21 , pp. 1021-1030
    • Piron, E.1    Latrille, E.2    Rene, F.3
  • 5
    • 0026806616 scopus 로고
    • A hybrid neural network-first principles approach to process modeling
    • Psichogios, D and Ungar, L. (1992). A hybrid neural network-first principles approach to process modeling. AIChEJ. 38, 1499-1511.
    • (1992) AIChEJ , vol.38 , pp. 1499-1511
    • Psichogios, D.1    Ungar, L.2
  • 7
    • 0028484335 scopus 로고
    • Modeling ChemicalProcessesUsing Prior Knowledge and Neural Networks
    • Thompson, M and Kramer, MA (1994). Modeling ChemicalProcessesUsing Prior Knowledge and Neural Networks. AIChE 40, 1328-1340.
    • (1994) AIChE , vol.40 , pp. 1328-1340
    • Thompson, M.1    Kramer, M.A.2
  • 8
    • 0030406831 scopus 로고    scopus 로고
    • Strategy for Dynamic ProcessModelingBased on Neural Networks in Macroscopic Balances
    • Van Can, HJL, Hellinga, C, Luyben, KAM and Heijnen, JJ (1996). Strategy for Dynamic ProcessModelingBased on Neural Networks in Macroscopic Balances.AIChE 42, 3403-3418
    • (1996) AIChE , vol.42 , pp. 3403-3418
    • Van Can, H.J.L.1    Hellinga, C.2    Luyben, K.A.M.3    Heijnen, J.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.