摘要
Abstract
The prediction model of NOx discharge concentration is proposed by establish the BP neural network to unit from coal-fired power plant,to explore the feasibility of BP neural network system for the pol utant concen-tration prediction.Through the train for cur ent time different unit load,stock imported smoke temperature,con-centration of NOx and O2 import,export NOx concentration of certain power plant 660 MW unit,it is concluded that the training model,after training the BP network to forecast the unknown concentration of NOx emission,predic-tion accuracy above 93 .48%.That method can meet the actual forecast of demand completely.Conclusion:the BP neural network system of coal-fired power plant NOx emission concentrations of real-time prediction is technical feasible,can monitor the quality of NOx emission concentration effectively.关键词
BP神经网络/燃煤电厂/NOx 浓度Key words
BP neural network/coal-fired power plant/NOx emission分类
资源环境
