Research on Water Quality Parameter Prediction Model Based on RBF Neural Network
In this paper,Matlab is used to establish a prediction model for RBF neural network with a high nonlinear function approximation accuracy,and the interannual variation of TN,TP and COD concentrations in Wuliangsuhai from 1998 to 2017 is used as the data,and the dataset and training set are divided to obtain the RBF neural network prediction model of TN,TP and COD through training.The comparison and analysis between the true value and the trained value and between the true value and the predicted value of TP and COD shows that the root mean square error is relatively small,which proves that the RBF neural network model has a relatively high prediction accuracy for water quality parameters.
NETL
NSTL
万方数据
维普
