Prediction of Groundwater Quality Using Organic Grey Neural Network 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 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 groundwater quality in some region, the groundwater 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.
gray prediction organic neural network groundwater quality BP neural network
Changjun Zhu Jihong Zhou Qin Ju Dedong Liu
College of Urban Construction Hebei University of Engineering Handan, 056038, China College of Hydrology and Water Resources Hohai University Nanjing, 210098,China
国际会议
上海
英文
2806-2809
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）