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Prediction of Groundwater Quality Using Organic Grey Neural Network Model

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4 Author(s)
Changjun Zhu ; Coll. of Urban Constr., Hebei Univ. of Eng., Handan ; Jihong Zhou ; Qin Ju ; Dedong Liu

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.

Published in:

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Date of Conference:

16-18 May 2008