【摘 要】
：
提出了复杂采空区危险程度辨识的贝叶斯判别方法.基于多元判别分析理论,将贝叶斯判别方法应用于金属矿山采空区危险程度的预测判别问题中,建立了相应的贝叶斯判别分析模型.该
【机 构】
：
中南大学资源与安全工程学院,深部金属矿产开发与灾害控制湖南省重点试验室
【基金项目】
：
国家重点基础研究发展规划(973计划);
论文部分内容阅读
提出了复杂采空区危险程度辨识的贝叶斯判别方法.基于多元判别分析理论,将贝叶斯判别方法应用于金属矿山采空区危险程度的预测判别问题中,建立了相应的贝叶斯判别分析模型.该模型选用岩石单轴抗压强度、岩石弹性模量、岩石质量指标、矿柱面积比率、矿柱宽高比、矿体埋藏深度、采空区体积、矿体倾角和采空区面积9项指标作为判别因子,将采空区的危险性等级分为4级;以40个采空区实测数据作为学习样本进行训练,建立相应判别函数对待判样本进行分类.研究结果表明,贝叶斯判别模型的学习精度很高,回判估计的误判率为0.025.利用学习后的模型对某金属矿山采空区实例进行了稳定性判别,判别结果和实际情况相符.
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