关键词: 造纸, 废水处理, 人工神经网络, 动态建模

Abstract:

This paper aims at exploring the possibility of building a dynamic model by artificial neural network for the wastewater treatment process in the paper making by waste paper.During the investigation,the error BP(Back Proragation)neural network is used to establish a dynamic model and describe the complex relationship among the COD of the influent wastewater,the dosage of the added medicament,the flowrate of the influent,the historical COD of the efluent and the predictive COD of the efluent.Different training methods for the network are then com-pared and discussed,demonstrating that the training method with dynamic adjustment results in good consistency between the calculated ouputs and the practical ouputs.The proposed model is finally applied to the wastewater treatment of a paper mill,with the results verifying the effectiveness of the BP model for the dynamic description of
wastewater treatment.This model lays a foundation for the further investigation into the on-line intelligent control of the wastewater treatment system.

Key words: paper making, wastewater treatment, artificial neural network, dynamic modeling