A Prediction of Groundwater Quality Using Grey System Neural Network United Model
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.
grey prediction united grey neural network groundwater quality RBF neural network
Changjun Zhu Zhen Chun Hao Qin Ju
College of Urban Construction, Hebei University of Engineering, Handan, 056038, China College of Hyd College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3216-3219
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）