Neural networks modeling of MCFC system and fuzzy control research based on FGA

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 3, Issue , 2004, Pages 2486-2490

  Qi, Zhidong ^a   Zhu, Xinjian ^a   Cao, Guangyi ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fuzzy genetic algorithm; Molten carbonate fuel cells; Neural networks

Indexed keywords

FUZZY GENETIC ALGORITHM; MOLTEN CARBONATE FUEL CELLS; NETWORK IDENTIFICATION; OPERATING TEMPERATURE;

CARBONATES; CONTROL EQUIPMENT; FUEL CELLS; FUZZY CONTROL; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS;

INTELLIGENT CONTROL;

EID: 4444295086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Platt J., A resource allocating network for function interpolation, Neural Comput 3(1991)213-225.
2. J. B. Gomm, and D. L. Yu, Selecting radial basis function network centers with recursive orthogonal least squares training, IEEE Trans. on Neural Networks, 11(2) (2000) 306-314.
3. L. Xu, K. Adam, etc. Rival penalized competitive learning for clustering analysis, RBF net, and curve detection, IEEE Transactions on neural networks,4 (4)(1993)636-649.
4. W. Kaminski, P. Strumillo, Kernel orthnormalization in radial basis function neural networks, IEEE Transactions on neural networks, 8(5) (1997) 1177-1183.
5. Li T.H., Lucasius C.B., and Kateman G.(1992) Optimization of calibration data with the dynamic genetic algorithm, Analytica Chimica Acta 268: 123-134.
6. Scrinvas M.Patnik L M. Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms. IEEE Trans SMC, 1994,24(4): 656.