DocumentCode
3121751
Title
Modeling the circulating fluidized bed boiler using RBF-NN based on immune genetic algorithm
Author
Wang, Dong Feng ; Han, Pu ; Liu, Na ; Dong, Ze ; Jiao, Song Ming
Author_Institution
Dept. of Power Eng., North China Electr. Power Univ., Baoding, China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
2121
Abstract
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.
Keywords
fluidised beds; genetic algorithms; neurocontrollers; radial basis function networks; RBF neural networks; control system; fluidized bed boiler; genetic algorithm; immune algorithm; Ash; Boilers; Combustion; Control design; Control systems; Fluidization; Genetic algorithms; Neural networks; Powders; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175413
Filename
1175413
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