基于支持向量机与地球物理测井资料的煤体结构识别方法

郭建宏, 杜婷, 张占松, 肖航, 秦瑞宝, 余杰, 王灿

The coal structure identification method based on support vector machine and geophysical logging data

GUO Jian-Hong, DU Ting, ZHANG Zhan-Song, XIAO Hang, QIN Rui-Bao, YU Jie, WANG Can

表3 SVM对煤体结构识别结果

Table 3 Recognition results of coal structure based on SVM

正确率 (83.3%) 双二分类模式预测结果 Ⅰ类结构煤 Ⅱ类结构煤 Ⅲ类结构煤 取心结果 Ⅰ类结构煤 15(93.75%) 1(6.25%) 0(0%) Ⅱ类结构煤 1(6.25%) 13(81.25%) 2(12.5%) Ⅲ类结构煤 4(25%) 12(75%) 正确率 (89.6%) “一对多”分类模式预测结果 Ⅰ类结构煤 Ⅱ类结构煤 Ⅲ类结构煤 取心结果 Ⅰ类结构煤 13(81.3%) 3(18.7%) 0(0%) Ⅱ类结构煤 1(6.25%) 14(87.5%) 1(6.25%) Ⅲ类结构煤 0(0%) 0(0%) 16(100%)