基于神经网络的煤矿安全性预测模型及应用

Safety Predicting Model Based on Neural Network and Its Application in Coal Mine

指出矿井安全性及其预测对煤矿生产的重要性以及传统的预测方法存在的缺陷。应用神经网络建立了时间序列的矿井安全性预测模型，克服了传统预测方法必须事先构造函数的不足之处，提高了安全预测的精度。实例分析表明，该预测模型的预测精度较高，具有较大的理论指导意义和应用价值。

The importance of the mine safety and its prediction in coal mining was described, and the shortcomings of the traditional predicting methods were discussed. It was for this reason that the mine safety predicting model of time sequence based on neural network was established. The model could overcome the shortcomings of the traditional predicting methods and was needless to determine the special function beforehand, so the accuracy of the prediction was improved.