期刊论文

中文

中国安全科学学报

1003-3033

2011

21

1

87-92

10.16265/j.cnki.issn1003-3033.2011.01.016

国家自然科学基金项目（50774092） 全国优秀博士学位论文专项资金资助（200449）

本校为第一机构

从矿山地质环境的实际特性出发,应用Bayes判别分析方法评估矿山地质环境问题。选用13项影响矿山地质环境的区域地质条件、环境现状、矿产资源开发规划、生态恢复治理状况的具体评估指标,以大量实测资料作为学习样本,并按各总体的样本比例确定先验概率,建立了矿山地质环境评估的Bayes判别分析模型。将该模型用于预测样本的评估中,采用回代估计法对判别结果进行验证,误判率为零,判别结果和实际一致。研究结果表明,Bayes判别分析模型是一种结构稳定、判别准确率很高的评估模型,能够用于矿山地质环境的评估。

From the actual characteristics of mine geological environment,Bayes discriminant analysis method is used to evaluate the geologic environment problem of mine.13 specific items affecting regional geological conditions,state of environment,mineral resources developing and planning,ecological recovery and control,etc.are selected as the assessment indexes,a Bayes discriminant analysis model for mine geological environment assessment is established based on large quantities of learning samples obtained by measurement and the prior probability obta...