Identifying stability of underground openings based on data mining

被引：0

作者：

Feng, X. ^{[1
]}

Ma, P. ^{[1
]}

机构：

[1] Sch. of Resources/Civil Engineering, Northeastern University, Shenyang 110006, China

来源：

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering | 2001年 / 20卷 / 03期

关键词：

Data mining - Knowledge acquisition - Learning systems - System stability;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Identification of stability for underground opening is a complex mechanical problem with insufficient knowledge. The data mining method is used initially to learn knowledge from engineering cases. A new data mining method considering negative attributes is proposed. The 95 data records of engineering cases are selected for discovering knowledge to identify the stability of underground openings. The expert system with the discovered rules gives reasonable identification of the stability of five underground opening cases.

引用

页码：306 / 309