基于神经网络时间序列的煤炭自燃预测研究

Prediction of Coal Spontaneous Combustion Based on Time Series of Neural Network

依据神经网络建模的原理,提出了一种基于神经网络的时间序列预测方法,并通过在山东枣庄矿业集团公司柴里煤矿进行的预测分析,验证了预测方法的有效性。为解决煤炭自燃的预测提供了一条良好的思路和方法,具有较大的理论意义和应用价值。

Based on the principles of neural network modeling,a time series forecasting method based neural network and through prediction analysis of Chaili Coal Mine.Zaozhuang Mining Group Company verifies effectiveness of the prediction method,which provides a good idea and method for the prediction of coal combustion and has great theoretical and practical value.