【摘要】 影响煤与瓦斯突出的各种要素与突出现象之间的关系复杂,且具有明显的非线性特点。BP人工神经网络模型可以很好地逼近这种非线性函数关系。基于煤与瓦斯突出特征指标的分析,建立了合理的单隐层结构的BP预测模型,并利用MATLAB神经网络工具箱实现了模型的训练与预测,应用结果表明,这种突出预测方法具有很高的计算效率和预测精度。更多还原

【Abstract】 It is very complex between the each kind of essential factor of the coal and gas prominent and the phenomenon of the prominent, and there is very obvious misalignment character.The BP artificial neural networks model ,we can approach this kind of nonlinear function relations well.Based on the analysis of the coal and the gas prominent character index,we can establish the reasonable single cryptoclastic texture BP forecast model,and realize the training and the forecast to the model which using the MATLAB neural network toolbox.The application result indicated that this prominent forecast technique has the very high counting yield and the forecast precision.更多还原