Prediction of Water Quality based on artificial neural network

Abstract

In this paper, three types of artificial neural network (back-propagation neural network, radial basis function neural network, and generalized regression neural network) were used to predict the pH values in the evaluation of water quality. Based on the measured data from the Xielugang in Jiaxin with the post-hoc analysis for the c and p values of the prediction, the results showed that the prediction within a year by using the generalized regression neural network has the lowest averaged relative error.