基于模糊神经网络的GM(1,1)模型

GM(1,1) Model based on Fuzzy Neural Network

在分析GM(1,1)模型建模机理的基础上,提出GM(1,1)模型中参数a,b的一种新算法—模糊神经网络算法,把模糊神经网络应用于灰色系统GM(1,1)模型的建模过程,得到模糊神经网络GM(1,1)模型,并将其运用于民航客运量的预测,结果表明改进后的模型有较好的拟合及预测精度。

Based on analyzing the mechanism of GM （1,1） model, this paper puts forward a new method of parameter a, b in GM （1,1） model, namely, applying fuzzy neural network into the course of GM（1,1） and get GM（1,1） model based on fuzzy neural network. When applying this model into predicting the volume of passenger trayel in civil aviation, the results suggest that the advanced model has better fitting and predicting precision.