将Fisher判别分析法应用于综放回采巷道支护形式选择中,建立了综放回采巷道支护形式选择的Fisher判别分析模型,选取围岩强度、煤层强度、巷道埋深、围岩节理裂隙发育程度、采动影响系数、顶煤厚度、护巷煤柱宽度和断面面积8项指标作为Fisher判别分析模型的判别因子,以15组综采巷道围岩及支护实测数据作为学习样本进行训练,建立相应的判别函数对待判样本进行分类.研究结果表明,Fisher判别分析模型分类性能良好,预测精度高,回判估计的误判率很低,是一种综放回采巷道支护形式选择的有效方法.

Based on the mathematical theory of discriminant analysis method, the Fisher's discriminant analysis model is applied to select support pattern for mining roadway in fully mechanized caving face, eight indexes reflecting the selection of support pattern, that is, surrounding rock intensity, coal seam intensity, mining depth, joint and crack of surrounding rock, mining influence coefficient, top coal thickness, coal pillar width, and section area of roadway are taken as the discriminant factors of Fisher's discriminant analysis model. Discriminant functions are obtained by training a large set of expansive samples. The results show that the forecasting model of Fisher's discriminant analysis has the excellent classification performance, high prediction accuracy, and is an effective method for selecting support pattern for the mining roadway in fully mechanized caving face.