An on-line wastewater quality predication system based on a time-delay neural network

The biological treatment process in a wastewater treatment system is a very complex process. The efficiency of the treatment is usually measured by la boratory tests, which typically take five days. In this paper, a time-delay neural network (TDNN) modeling method is proposed for predicting the treat ment results. As the first step, a sensitivity analysis performed on a mult ilayer perceptron (MLP) network model is used to reduce the input dimension s of the model. Then a TDNN model is further used to improve the performanc e of the original MLP network model. Subsequently, an on-line prediction an d model-updating strategy is proposed and implemented. Simulations using in dustrial process data show that the prediction accuracy can be improved by the on-line model updating. (C) 1998 Elsevier Science Ltd. All rights reser ved.