将模糊控制技术、 分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
训练好的神经网络、矿井煤与瓦斯突出指标数据库和其它程序绑定在一起组成了矿井突出危险等级评价系统。
Put the trained neural network, the indexes database of coal and gas outburst and other programs together constituted the system to evaluate the mine outburst dangerous grade.
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