Application of Artificial Neural Network in Modeling Paint Waste Water Treated by Coagulation Oxidation Process
DOU Jun feng,ZHOU Zhen yang,GAO Jun min
DOI:10.11835/j.issn.1674-4764.2002.02.016
Received ,Revised , Accepted , Available online July 01, 2015
Volume ,2002,Pages 66-69
- Abstract
An artificial neural network (ANN) model was established based on data of paint waste water treated by coagulation oxidation process, using the improved back propagation algorithm. The model was then used to fit and predict some experimental data. The results indicated that the errors between computed data and experimental data were much small. Furthermore, the ANN model could correctly reflect the mechanism of some factors which affected the efficiency of paint waste water treatment.