摘要
为了对金属矿山井下开采中的地质灾害进行预测和控制,以某铁矿的微震监测系统在线监测的结果作为分析对象,将人工智能领域中的支持向量机算法引入矿山微震事件与地质灾害相关分析中,建立基于支持向量机的微震预测模型,并对一段时间区段的微震进行预测和对比,取得了良好效果。
In order to predict and control the geological disasters in deep mining of metal mine, the online monitoring resuits of microseismic system in an iron ore were selected as analysis objects. And the support vector machine algorithm in the field of artificial intelligence was introduced into the correlation analysis of microseismic events and geological disasters in mine. Then the microseismic prediction models were established based on support vector machine. Finally, the microseismic in a period of time was predicted and compared, which obtained good effect.
出处
《矿业研究与开发》
CAS
北大核心
2015年第9期77-80,共4页
Mining Research and Development
基金
"十二五"国家科技支撑计划项目(2011BAB05B03)
关键词
支持向量机
微震监测
回归预测
地质灾害
Support vector machine, Microseismic monitoring, Regression prediction, Geological disasters
