Determination of Coal Mine Safety Risk System Indicator Weight Based on BP Neural Network

摘要：

Construction of coal mine safety risk system is the key to solve the conflict between current coal mine safety production and the status of the development. According to the actual situation of coal mining enterprises, the author constructs a coal mine safety risk system with four secondary indicators—man, machine, environment and management and 22 third indicators. The paper cancels drift value in the weight determination process by using the BP neural network method. The paper provides a new approach and new ideas to solve the human subjectivity in the traditional Indicator Weight Determination.

关键词： coal mine safety safety risk system BP neural network indicator weight

作者: WANG Xiangyao CHEN Mingli

作者单位: Faculty of Resources & Safety Engineering, China University of Mining & Technology (Beijing), Beijin School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 239-244

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）