메뉴 건너뛰기




Volumn , Issue , 2006, Pages 1352-1357

Notice of Removal: A Q-newton method neural network model for PEM fuel cells

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; CURRENT DENSITY; HYDROGEN; NEURAL NETWORKS; NEWTON-RAPHSON METHOD; OPTIMIZATION;

EID: 38949171313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDIN.2006.275856     Document Type: TB
Times cited : (4)

References (9)
  • 1
    • 0842289942 scopus 로고    scopus 로고
    • Ferng, Y.M.Tzang, Y.C., Pei, B.S., Sun, C.C., Su, A., 2004. Analytical and experimental investigations of a proton exchange membrane fuel cell. International Journal of Hydrogen Energy, 29:381-391.
    • Ferng, Y.M.Tzang, Y.C., Pei, B.S., Sun, C.C., Su, A., 2004. Analytical and experimental investigations of a proton exchange membrane fuel cell. International Journal of Hydrogen Energy, 29:381-391.
  • 2
    • 0033902461 scopus 로고    scopus 로고
    • Development and application of a generalised steady-state electrochemical model for a PEM fuel cell
    • Mann, R.F., Amphlett, J.C., Hooper, M.A.I., Jensen, H.M., Peppley, B.A., 2000. Development and application of a generalised steady-state electrochemical model for a PEM fuel cell. Journal of Power Sources, 86:173-179.
    • (2000) Journal of Power Sources , vol.86 , pp. 173-179
    • Mann, R.F.1    Amphlett, J.C.2    Hooper, M.A.I.3    Jensen, H.M.4    Peppley, B.A.5
  • 4
    • 1642275235 scopus 로고    scopus 로고
    • Nonlinear modeling of MCFC stack based on RBF neural networks identification
    • Shen, C., 2002. Nonlinear modeling of MCFC stack based on RBF neural networks identification. Simulation Modeling Practice and Theory, 10:109-119.
    • (2002) Simulation Modeling Practice and Theory , vol.10 , pp. 109-119
    • Shen, C.1
  • 5
    • 0004135630 scopus 로고    scopus 로고
    • EGG Services Parsons Inc, 5th edition, United States Department of Energy, October
    • EGG Services Parsons Inc, Fuel cell handbook (5th edition). United States Department of Energy, October 2000.
    • (2000) Fuel cell handbook
  • 6
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • G. Zhang, B.E. Patuwo, M.Y. Hu, Forecasting with artificial neural networks: the state of the art. Int. J. Forecast 14 (1998) 35-62.
    • (1998) Int. J. Forecast , vol.14 , pp. 35-62
    • Zhang, G.1    Patuwo, B.E.2    Hu, M.Y.3
  • 7
    • 0242694559 scopus 로고    scopus 로고
    • On-board fuel cell power supply modelling on the basis of neural network methodology
    • S. Jemëi, D. Hissel, M.C. Péra, J.M. Kauffmann, On-board fuel cell power supply modelling on the basis of neural network methodology. Journal of Power Sources 124 (2003)479-486
    • (2003) Journal of Power Sources , vol.124 , pp. 479-486
    • Jemëi, S.1    Hissel, D.2    Péra, M.C.3    Kauffmann, J.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.