摘要
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。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。检验结果表明 ,模型可靠 ,预测精度高。
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. 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. The inspection results showed that the model is reliable and the accuracy of the prediction is high.
出处
《煤炭科学技术》
CAS
北大核心
2004年第2期62-65,共4页
Coal Science and Technology
关键词
模糊
分形
神经网络
瓦斯涌出量
预测
fuzzy, fractal,neural network
gas emission quantity, prediction
