Establishment and Application of Mine Ventilation System Evaluation Model Based on RS and FNN

摘要：

The broad masses of coal mining enterprises have been very concerned about how to effectively evaluate safety and reliability of mine ventilation system. Domestic and international scholars in this regard have also carried out a substantial amount of research and made a variety of different types of eva|uafion methods, but because there are many fuzzy factors that affect the safety and reliability of mine ventilation system, it is very difficuit to evaluate the ventilation system accurately while using traditional methods. In view of this, this paper established an evaluation system based on rough sets and fuzzy neural network theory, it can not only complete a multi-level and multi-factor evaluation system also have self-learning capabilities, the verification of the evaluation model shows that the model has a high accuracy, and the total error is only 0.037, so that the model can be applied to the safety evaluation at the scene.

关键词： mine ventilation system evaluation RS FNN

作者: ZHU Chuanjie LIN Baiquan ZHANG Zhiyu LI Wenxia SUN Xin

作者单位: School of Safety Engineering,China University of Mining and Technology,Xuzhou 221008,Jiangsu,China

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1446-1450

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）