基于模糊神经网络的煤与瓦斯突出区域预测研究
The fuzzy-neural networks and theory of forecasting the coal-gas-outburst
-
摘要: 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Abstract: Because the complicated non-linear relation between the coal-gas-outburst and its affecting factors,it is difficult to established model with traditional mathematical method.The authors set up the forecasting system with fuzzy-neural network theory,by means of fuzzy mathematics to express and deal with the imprecise data and fuzzy information,and utilized self-adaptive neural networks system to solve the problems.The results of actual application indicate that the model is reliable and precise and has large practical value,which enriches the theory of forecasting coal-gas-outburst.