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本文探讨利用人工智能中的神经元网络对采煤工作面顶板来压步距进行预测,即以人工神经元网络方法代替原来的多元非线性回归。以顶板来压时实测的数据作为输入参数,便可得到输出结果,判断顶板来压步距。
This article explores the use of artificial neural network in the coal mining face roof pressure step to predict, that artificial neural network method instead of the original multiple nonlinear regression. To the roof when the pressure measured data as an input parameter, you can get the output, to determine the roof pressure step.