DocumentCode :
1677669
Title :
Prediction of Groundwater Quality Using Organic Grey Neural Network Model
Author :
Zhu, Changjun ; Zhou, Jihong ; Ju, Qin ; Dedong Liu
Author_Institution :
Coll. of Urban Constr., Hebei Univ. of Eng., Handan
fYear :
2008
Firstpage :
3168
Lastpage :
3171
Abstract :
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.
Keywords :
backpropagation; environmental science computing; groundwater; neural nets; water pollution; BP neural network; artificial neural network; gray prediction; groundwater quality prediction; organic grey neural network model; Artificial neural networks; Differential equations; Educational institutions; Environmental management; Hydrology; Neural networks; Predictive models; Quality management; Resource management; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
Type :
conf
DOI :
10.1109/ICBBE.2008.1121
Filename :
4536001
Link To Document :
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