Prediction of river water quality using organic gray neural network

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 GM(1,1), unbiased GM(1,1) and BP neural network. The two groups data got from the gray model are used as the input of the neural network and the origin data are used as the output of 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 organic gray neural network model. The results show that the model had highly fitting and predicting precision advantages than other model had.