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

被引：1
作者：
Yan, Zhuang [1 ,2 ]
Di, Tian [1 ]
Ye, Yanliang [2 ]
Han, Wenju [3 ]
机构：
[1] JiLin Univ, Instrument Sci & Elect Engn Inst, Changchun 130061, Jilin, Peoples R China
[2] Beihua Univ, Elect Informat Engn Inst, Jilin 132021, Peoples R China
[3] PetroChina Co Ltd, Jilin PetroChem Co Inst, Jilin 132021, Peoples R China
来源：
BIOTECHNOLOGY, CHEMICAL AND MATERIALS ENGINEERING II, PTS 1 AND 2 | 2013年 / 641-642卷
关键词：
petrochemical wastewater; activated sludge system; neural network; modeling; water quality forecast; data pre-processing;
D O I：
10.4028/www.scientific.net/AMR.641-642.219
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
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.
引用
收藏
页码：219 / +
页数：2
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