DocumentCode :
2041734
Title :
Prediction of Groundwater Quality Using Combined Grey Neural Network Model
Author :
Zhu, Changjun ; Zhao, Xiujuan ; Zhou, Jihong ; Ju, Qin ; Liu, Dedong
Author_Institution :
Coll. of Urban Constr., Hebei Univ. of Eng., Handan
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In view of the defect that the grey method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new combined grey neural network model was proposed. This paper mainly analyses the groundwater quality and establishes their mathematical model based on the groundwater monitoring data of one area by combined grey neural network method. It predicts various tendency of groundwater quality in this area in the future. Case study indicates that precision of the model is rather high and its popularization significance is better than the other models, and has some practical value when being used in the prediction of groundwater quality analysis.
Keywords :
forecasting theory; geophysics computing; grey systems; groundwater; hydrological techniques; mathematical analysis; monitoring; neural nets; grey neural network; groundwater monitoring; groundwater quality prediction; mathematical model; Artificial neural networks; Differential equations; Educational institutions; Hydrology; Least squares approximation; Mathematical model; Monitoring; Neural networks; Predictive models; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5073014
Filename :
5073014
Link To Document :
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