摘要
利用改进的BP算法结合MATLAB工具箱 ,对SBR工艺中pH值变化的时间序列建立了一种BP网络预测模型 ,并利用该模型对SBR工艺中pH值的变化规律及趋势进行了研究。结果表明 :模型的计算值与实测值之间的误差很小 ,对未来时刻数据的预测精度也较高 ,模型较好地反映了SBR工艺中pH值变化的规律 。
An back_propagation network predicting model was established based on the time series of the variety of pH in the Sequencing Batch Reactor (SBR), using both improved back_propagation algorithm and MATLAB. The model was then used in the study on the changing rule of pH and the developing trend in the Sequencing Batch Reactor. The results showed high accuracy both for the present data and for the predicting data, which showed that the established ANN model had reflected the rule of the variety of pH in the Sequencing Batch Reactor. All of the above showed that it is a effective and new way to do some research on the regulation of the variety of pH using Artificial Neural Network.
出处
《中国农村水利水电》
北大核心
2002年第8期40-42,共3页
China Rural Water and Hydropower
关键词
SBR工艺
PH值
BP算法
网络预测模型
Sequencing Batch Reactor (SBR) pH Back_Propagation Predicting Accuracy
