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In order to improve the efficiency of CFB-FGD (circulated fluidized bed for flue gas desulfurization) in many thermal power plants, this paper used the improved genetic algorithms and BP neural network to model and optimize the operation of CFB-FGD. First, this paper build BP neural network model to simulate CFB-FGD. Then, based on this model, we used the improved genetic algorithms to optimize CFB-FGD. The results can help improve the efficiency of CFB-FGD and decrease enterprise operating costs. |
