DocumentCode :
2773876
Title :
A prediction of groundwater quality using grey system neural network united model
Author :
Zhu, Changjun ; Chun Hao, Zhen ; Ju, Qin
Author_Institution :
Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
3216
Lastpage :
3219
Abstract :
At present, classic methods are often used to predict groundwater level, but the result is not ideal. 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 united grey neural network model was developed. This paper mainly analyses the groundwater quality and establishes their mathematical model based on the groundwater monitoring data of one area by united 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 :
condition monitoring; forecasting theory; grey systems; groundwater; neural nets; water supply; artificial neural network; grey system neural network united model; groundwater level prediction; groundwater monitoring data; groundwater quality prediction; mathematical model; united grey neural network model; Artificial neural networks; Differential equations; Educational institutions; Environmental management; Hydrology; Mathematical model; Monitoring; Neural networks; Predictive models; Water resources; RBF neural network; grey prediction; groundwater quality; united grey neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5191466
Filename :
5191466
Link To Document :
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