Research on the Prevention of Three-Violation Behaviors in Coal Mines Based on the BP Neural Network
Considering the current situation that research about three-violation behaviors in coal mine mainly focused on the macroscopic level, based on the BP neural network, internal relation between the occurrence of three-violation behaviors in coal mine and the basic information of its doers was dug in deep, threeviolation behavior database and coal staff basic information database was combined, which was sorted and handled into neural network training samples. In this case, three-violation behavior prediction model and three violations prevention and control system were established, which were proved effectively reducing three-violation behavior occurrence probability by production practice, providing a new thinking for similar case and an important reference to prevent three-violation behaviors and safety accidents in coal mine.
Li Lijie Liu Shuangyue Yang Nailian Li Jian
School of Civil and Environment Engineering University of Science and Technology Beijing Beijing, Ch Information and Training Center of Occupational Safety and Health China Academy of Safety Science an
国际会议
北京
英文
109-114
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）