The Modeling of Petrochemical Wastewater Activated Sludge System and Water Quality Forecast Based on Neural Network

摘要：

　　Aiming at the petrochemical wastewater activated sludge system,using the Elman neural network modeling technology,through the improvement structure to improve the dynamic performance of the network,check and repair etc data preprocessing methods,combined with object characteristics selected input variable,construct the neural network model.The simulation results show that the neural network based on the activated sludge system model has good convergence and prediction accuracy,and can meet the control sewage treatment system reliable and stable operation of the engineering application demand.

关键词： petrochemical wastewater activated sludge system neural network modeling water quality forecast data pre-processing

作者: Zhuang Yan Tian Di Yanliang Ye Wenju Han

作者单位: JiLin University, Instrument Science and Electrical Engineering Institute ,Jilin,Changchun,130061 ,C JiLin University, Instrument Science and Electrical Engineering Institute ,Jilin,Changchun,130061 ,C Beihua University, Electricity Information Engineering Institute, Jilin 132021, China PetroChina Company Limited, Jilin PetroChemical Company Institute, Sewage Treatment Plant Jilin 1320

会议类型: 国际会议

会议名称: 2012 The 2nd International Conference on Biotechnology,Chemial and Materials Engineering(第二届生物、化工和材料工程国际会议(CBCME2012))

会议地点: 厦门

会议语种:英文

页码: 219-222

在线出版日期: 2012-12-28（万方平台首次上网日期，不代表论文的发表时间）