The Prediction of Soil Moisture Based on Rough Set-Neural Network Model

被引：0
|
作者：
Yan Wen [1 ]
Liu Wending [1 ]
Cheng Zhen [1 ]
Kan Jiangming [1 ]
机构：
[1] Beijing Forestry Univ, Acad Engn, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年
关键词：
Rough Set; Neural Network; Soil Moisture;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the analysis of meteorological parameters affecting the soil moisture, this paper puts forward a new prediction model of soil moisture based on rough set and neural network. Reduce the attribute of decision table and pick up key factors as input of artificial neural network. neural network is used as a function approximation to train the data set and build estimation model. It is shown that this hybrid method can reduce the training time, improve the learning efficiency, enhance the predication accuracy, and be feasible and effective.
引用
收藏
页码：2413 / 2415
页数：3
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