概率神经网络在煤与瓦斯突出中的应用

Application of Neural Network for Coal and Gas Outbursts

为准确预测矿井煤与瓦斯突出的危险性,针对小样本情况下BP神经网络泛化能力低的缺点,采用概率神经网络对煤与瓦斯突出的危险性进行预测.该模型的预测准确性高,能有效地预测煤与瓦斯突出的危险性.

For the purpose of predicting the danger of coal and gas outburst correctly,a kind of modified RBF neural network is applied for the predicting in this paper.The results show that this model is a very efficient for coal and gas outburst,which is important for the mine production safety.