摘要
在对BP神经网络原理进行分析的基础上,采用MATLAB语言,利用样本进行网络训练后,设计出预测某煤矿回采工作面瓦斯涌出量的BP神经网络模型,然后对实际数据进行仿真模拟,得到了很好的预测结果。从预测结果可以看出,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该煤矿回采工作面的瓦斯涌出量预测。
Based on the analysis of BP neural network principle,BP neural network model was designed to predict the gas emission in working face by using MATLAB Language,which obtained good prediction result,achieved engineering acceptable prediction accuracy and illustrated that the model could be used to predict the gas emission in working face.
出处
《江西煤炭科技》
2014年第2期1-3,共3页
Jiangxi Coal Science & Technology
