摘要
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。
For the problem of coal spontaneous combustion forecasting, the gas analysis as the foundation, a forecasting system of spontaneous combustion of coal based on extreme learning machine has been constructed. The systems can construct the nonlinear mapping relation between gas concentration and spontaneous combustion situation directly, so the recognition classification of spontaneous combustion is realized.
出处
《煤炭技术》
CAS
北大核心
2016年第12期224-226,共3页
Coal Technology
关键词
极限学习机
束管监测系统
自然发火预测预报
extreme learning machine
beam tube monitoring system
spontaneous combustionforecasting