基于T-S模糊神经网络的瓦斯涌出量预测

Analysis of Damping Effect of Empty hole and Pre-splitting Crack of Bench Blasting

在对T-S模糊神经网络原理进行分析的基础上,采用MATLAB语言,利用赵庄二号井2314工作面所测得的数据,建立T-S模糊神经网络预测模型。该方法具有拟合性能强,预测准确度高的优点,可以作为采煤工作面瓦斯涌出量预测的方法,对于瓦斯治理有着重要意义。

In the analysis of t - s fuzzy neural network principle, on the basis of using the MATLAB language, the use of 2314 face Zhao Zhuang no. 2 shaft measured data, t - s fuzzy neural network prediction model is established. This method has a fitting performance is strong, the advantage of high prediction accuracy, can be used as coal working face gas emission prediction, the method of management has important significance for gas.