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Research of mine ventilation resistance calculation based on BP neural network

机译:基于BP神经网络的矿井通风阻力计算研究。

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Mine ventilation resistance is decided to coefficient of frictional resistance. and it is very vital to airflow distribution of using air place, With the special conditions of roadways of I-beam supporting in the article, the coefficient of frictional resistance is calculated through an improved BP artificial neural network model, and the article analyses the difference between BP neural network calculation and actual measure. Suggest to apply the BP artificial neural network on pattern recognition of coefficient of frictional resistance. The main advantages of it include simple structure, efficient convergence, precise forecasting, etc. The precision in calculation of model is higher, it has a certain practical value.
机译:矿井通风阻力取决于摩擦阻力系数。本文对工字梁支护的特殊条件,通过改进的BP人工神经网络模型计算了摩擦阻力系数,并对差异进行了分析。在BP神经网络计算和实际测量之间。建议将BP人工神经网络应用于摩擦阻力系数的模式识别。它的主要优点是结构简单,有效收敛,预测准确等。模型计算精度较高,具有一定的实用价值。

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