工作面瓦斯涌出量的神经网络模型预测研究

Research on the prediction of gas emission in working face based on neural network

通过对BP神经网络原理的分析 ,设计出了预测工作面瓦斯涌出量的BP神经网络模型。然后 ,在所建模型的基础上 ,采用matlab语言 ,实现了预测工作面瓦斯涌出量的BP神经网络模型。通过使用样本对网络进行训练和对几十个实际数据的仿真 ,得到了很好的预测结果。从预测结果看出 ,达到了工程实际能够接受的预测精度 ,说明该模型能够用于矿井的瓦斯涌出量预测。

Based on the mechanism of artificial neural network,a BP neural network model is established for predicting the gas emission of working faces.And based on the MATLAB software is designed.By training the BP network with samples the simulating results is enough precise to be used to engineering prediction.