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运用煤矿生产实践中积累的相关数据,分析影响顶煤可放性的多个因素,基于逐步判别分析理论,建立逐步判别分析模型.通过逐步判别分析法优选瓦斯、开采深度、倾角、煤层厚度四项作为主要判别指标,利用工程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预测,得出预测结果与实际情况相吻合.研究结果表明:经过训练后的判别函数模型回判的误判率为0,判别模型函数效果显著.逐步判别分析模型对急倾斜煤层顶煤可放性分类的判别性能较好,预测结果准确,且操作过程简单,便于实际推广.
Based on the step by step discriminant analysis theory, a stepwise discriminant analysis model is established by using the relevant data accumulated in practice of coal mine production.According to stepwise discriminant analysis method, gas, mining depth, dip angle and thickness of coal seam are optimized Item as the main discriminant index, using the measured data of the project as training samples, and establishing the corresponding discriminant function to predict the sample to be adjudged, the forecast result is in good agreement with the actual situation.The results show that the trained discriminant function model The misjudgment rate is 0, and the discriminant function of the model is significant.Differential discriminant analysis model has good discriminative performance for the coal caving classification of steep coal seam, the prediction result is accurate, and the operation process is simple and easy to promote.