Surface water quality prediction using ARMARBF model

In view of the defect that the gray method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new organic gray neural network model was proposed by the advantages of ARMA and rbf neural network. The neural network was trained to get the optimal structure of neural network. According to the dynamic law of one river water quality in some region, the water quality was predicted in ARMA-RBF model. The results show that the model had highly fitting and predicting precision advantages than other model had.