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Modeling the circulating fluidized bed boiler using RBF-NN based on immune genetic algorithm

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5 Author(s)
Dong-Feng Wang ; Dept. of Power Eng., North China Electr. Power Univ., Baoding, China ; Pu Han ; Na Liu ; Ze Dong
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Combining the excellence of immune algorithm and Genetic Algorithm(GA), a modeling. method using parallel Radial Basis Function Neural Network(RBF-NN) is proposed based on immune GA optimization. And this method is applied to modeling of a Circulating Fluidized Bed(CFB) boiler so as to realize neural network modeling of CFB boiler. The established neural network model is very useful for both characteristic research and advanced control strategy development of CFB boiler.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:4 )

Date of Conference:

4-5 Nov. 2002