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.
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.
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，并运用于采空区遗煤自然发火的预测中。
The fuzzy technology and fractal theory are combined with neural network and applied to predict coal spontaneous combustion in coal mine.
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，并运用于采空区遗煤自然发火的预测中。
The fuzzy technology and fractal theory are combined with neural network and applied to predict coal spontaneous combustion in coal mine.
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