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基于灰色神经网络的空中交通流量预测方法
引用本文:潘志毅. 基于灰色神经网络的空中交通流量预测方法[J]. 微计算机信息, 2011, 0(9)
作者姓名:潘志毅
作者单位:中国民航大学空中交通管理学院;
摘    要:空中交通流量预测是空中交通管理领域的研究热点。针对空中交通流量的复杂性、非线性和不确定性,提出一种基于灰色神经网络算法进近空域内的空中交通流量预测方法。将灰色系统与人工神经网络相结合构成的灰色神经网络预测模型,优于单一的灰色预测方法和人工神经网络预测方法。

关 键 词:空中交通流量预测  空中交通管理  空域  灰色神经网络  

Air Traffic Flow Forecast Method Based on Grey Neural Network
PAN Zhi-yi. Air Traffic Flow Forecast Method Based on Grey Neural Network[J]. Control & Automation, 2011, 0(9)
Authors:PAN Zhi-yi
Affiliation:PAN Zhi-yi(School of Air Traffic Management,Civil Aviation University of China,Tianjin,300300,China)
Abstract:Air traffic flow forecasting is focused in the area of air traffic control research.According to complexity,non-linear characteristics and uncertainty of air traffic flow,a new method based on grey neural networks is proposed,using on forecasting air traffic flow in approach air space.Grey neural network forecasting model,combined by grey system and neural network,perform better than single grey forecasting method or neural network forecasting method.
Keywords:Air traffic flow forecasting  Air traffic control  Air space  Grey Neural Network  
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