Research and application of oilfield production management information system based on data mining technique

被引：0
|
作者：
Zhu, Li [1 ]
Xu, Zhonghua [1 ]
Wang, Jun [1 ]
机构：
[1] China Univ Geosci, Sch Comp, Wuhan 430074, Hubei, Peoples R China
来源：
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS | 2007年
关键词：
data mining; rough sets; neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The technology of Data Mining is widely used in many areas, but its application in the oil field production management information system has not been found. This paper presents a novel method based on improved rough sets and neural network for the management of oil field production. applying rough set can reduce data of forecast oilfield, But It was interfered by noise data, the neural networks algorithm can make up rough set deficiency fitly, Simplify rough set as the input of BP neural network system. By combining the two methods in ZhongYuan oilfield production system. Results show that the new method can get a better result than general methods.
引用
收藏
页码：496 / 499
页数：4
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