ANN-BASED SHORT-TERM WASTEWATER FLOW PREDICTION FOR BETTER WWTP CONTROL

被引：0
|
作者：
Plonka, Leslaw [1 ]
Miksch, Korneliusz [1 ]
机构：
[1] Silesian Tech Univ, Environm Biotechnol Dept, 2 Akad Str, PL-44100 Gliwice, Poland
来源：
CHEMISTRY & CHEMICAL TECHNOLOGY | 2010年 / 4卷 / 02期
关键词：
neural network; wastewater load; flow prediction; WWTP control;
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.
引用
收藏
页码：159 / 162
页数：4
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