基于BP神经网络的煤矸石电厂烟气脱硫效果评价

The effective evaluation of flue gas desulphurization in coal gangue power plant based on BP neural network

为了对煤矸石电厂烟气脱硫效果进行有效的评价,根据一定原则选取了烟气脱硫效果评价指标,运用BP神经网络构建了煤矸石电厂烟气脱硫效果评价模型,并对该模型进行了学习、训练和仿真处理。该模型具有较强的操作性,而且效果较好,能够为煤矸石电厂烟气脱硫效果评价提供科学的依据。

In order to evaluate the effect of flue gas desulphurization of coal gangue power plant,this paper selected evaluation indicators of flue gas desulphurization according to certain principles and constructed model of the effect about flue gas desulphurization of coal gangue power plant using BP neural network,and used the model to learn,train and simulation process.The model operated simply and effectively,was able to provide a scientific basis for the evaluation of flue gas desulphurization of coal gangue power plant.