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介绍Matlab神经网络工具箱在煤矿瓦斯治理工作中的2个成功应用实例:用BP人工神经网络建立起采煤工作面平均瓦斯相对涌出量与地质构造间的对应关系,预测未开采区域在采动时的平均瓦斯相对涌出量;利用人工神经网络拟合已抽放区域的抽放监测数据以准确计算一定时间内的瓦斯抽放量,最终确定合理瓦斯抽放时间。
This paper introduces two successful application cases of Matlab neural network toolbox in coal mine gas management: establishing the corresponding relationship between the average gas emission and the geological structure of coal mining face using BP artificial neural network, The average amount of gas released during the move; artificial neural network to fit the drainage monitoring data in the drained area to accurately calculate the amount of gas drainage within a certain period of time, and finally determine the reasonable gas drainage time.