Artificial neural network simulator for SOFC performance prediction

Journal of Power Sources

Volumn 112, Issue 1, 2002, Pages 54-60

  Arriagada, Jaime ^a   Olausson, Pernilla ^a   Selimovic, Azra ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

Artificial neural network (ANN); Backpropagation; Feed forward network; Fuel cell; Neural network; Solid oxide fuel cells (SOFC)

Indexed keywords

BACKPROPAGATION; CURRENT DENSITY; ELECTRIC POTENTIAL; MATHEMATICAL MODELS; NEURAL NETWORKS;

GAS FLOWS;

SOLID OXIDE FUEL CELLS;

EID: 0037167997     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7753(02)00314-2     Document Type: Article

References (7)

1. E. Achenbach, SOFC Stack Modelling, IEA Report, 1996.
2. A. Selimovic, Solid oxide fuel cell modelling for SOFC/gas turbine combined cycle simulations, Thesis for degree of Licentiate in Engineering, ISRN/LUTMDN/TMVK-7039, Lund University, Sweden, 2000.
3. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, 1995.
4. Haykin, S., Neural Networks - A Comprehensive Foundation, 2nd Edition, Prentice-Hall, Englewood Cliffs, NJ, 1999.
5. D. Rumelhart, G. Hinton, R. Williams, Learning internal representations by error propagation, in: D. Rumelhart, J. McClelland (Eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, MIT Press, Cambridge, MA, 1986, pp. 318-362.
6. D. Massie, Neural network fundamentals for scientists and engineers, in: Proceedings of ECOS'01, Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, First International Conference on Applied Thermodynamics, Istanbul, 2001.
7. S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall, Englewood Cliffs, NJ, 1995.