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针对煤层自然发火的预测问题,以标志气体分析法为基础,提出了一种基于极限学习机的煤自然发火预报模型,该模型将直接构造出指标气体浓度与煤层是否自然发火之间的非线性映射关系,从而实现对煤层是否自然发火的识别分类。
Aiming at the problem of spontaneous combustion in coal seam and based on the sign gas analysis method, a prediction model based on extreme learning machine is proposed to predict spontaneous combustion of coal. The model directly establishes the nonlinearity between the indicator gas concentration and the spontaneous combustion of coal seam Mapping relationship, in order to achieve the coal spontaneous combustion identification classification.