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