United Grey System-Neural Network Model and its Application in Prediction of Groundwater Level

被引：0
|
作者：
Zhu, Changjun [1 ]
Ju, Qin [2 ]
机构：
[1] Hebei Univ Engn, Coll Urban Construct, Handan 056038, Peoples R China
[2] Hohai Univ, State Key Lab Hydrol Water Resource & Hydrol Engn, Nanjing 210, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL MECHATRONICS AND AUTOMATION | 2009年
关键词：
grey model; neural network; groundwater level; prediction; united grey ANN;
D O I：
10.1109/ICIMA.2009.5156656
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
At present, classic methods are often used to predict groundwater level, but the result is not ideal. Though GM(1,1) and neural network are applied in this field, some limits have been existed. In view of the difficulty to predict groundwater level, in this paper, a grey system-neural network united model is developed based on the grey theory and neural network method. It predicts various tendency of groundwater 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 dynamic groundwater level analysis.
引用
收藏
页码：434 / +
页数：3
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