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煤与瓦斯突出影响因素间复杂的非线性关系 ,难以用经典的数学理论建立精确的预测模型。本文用自适应模糊神经网络技术建立煤与瓦斯突出预测系统 ,以模糊数学作为表达与处理不精确数据、模糊信息条件的手段 ,以自适应BP神经网络作为解决问题的途径。结果表明 :方法可行 ,预测精度高 ,能够满足要求 ,进一步充实了煤与瓦斯突出区域预测理论
The complex non-linear relationship between coal and gas outburst influencing factors makes it difficult to establish accurate prediction models using classical mathematical theory. In this paper, adaptive fuzzy neural network technology is used to establish prediction system of coal and gas outburst. Fuzzy mathematics is used as a means to express and process inaccurate data and fuzzy information conditions, and adaptive BP neural network is used as a solution to the problem. The results show that the method is feasible, the prediction accuracy is high, and the requirements can be met, which further substantiates the prediction theory of coal and gas outburst area