Study on intelligent prediction of broken rock zone thickness of coal mine roadways

被引：0

作者：

Xu, Guo-An ^{[1
]}

Jing, Hong-Wen ^{[1
]}

机构：

[1] Sch. of Arch. and Civil Eng., China Univ. of Mining and Technol., Xuzhou 221008, China

来源：

Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology | 2005年 / 34卷 / 02期

关键词：

Adaptive control systems - Fuzzy control - In situ coal combustion - Intelligent control - Predictive control systems - Thickness control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Considering the problem of obtaining the thickness of broken rock zone, a booming intelligent prediction method with ANFIS (adaptive neuro-fuzzy inference system) was introduced into the thickness prediction. A stand-alone program with functions of creating and applying prediction systems was designed on the platform of MATLAB6.5. Then the program was used to predict the broken rock zone thickness of dips in 12th coal mine, Pingdingshan Group Company of Coal Industry. The results show that the predicted values accord well with the in-situ measured ones. Thereby the validity of the program is validated and it can provide a new approach to obtaining the broken zone thickness.

引用

页码：152 / 155