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Research on Prediction of the Amount of Regional Airport Aviation Based on GM (1, 1) Model in the Gray System

机译:基于GM(1,1)模型在灰色系统中的区域机场航空量预测研究

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This paper discussed the analysis of the regional airport air volume forecast based on the classic GM (1, 1) model in the grey system theory. Focused on the impact of predict of the data by application of the original data sequence after preprocessing by the strengthen operator and weakening operator in sequence operator. Through the analysis and comparison of the concrete prediction of Beijing-Tianjin-Hebei region airport aviation data, found that in the process of predicting of the region Airport air volume, introduction of weakening/strengthen operator by combination with the area practical situation, as the result of the regional airport aviation prediction is conformity with the practical situation and forecasting precision is better.
机译:本文讨论了基于灰色系统理论的经典通用(1,1)模型的区域机场空气量预测分析。通过在序列操作员中预处理和弱化运算符在预处理之后应用原始数据序列来专注于预测数据的影响。通过分析和比较京津 - 河北地区机场航空数据的具体预测,发现在预测地区机场风量,疲软/加强运营商与面积的实际情况结合,为区域机场航空预测的结果符合实际情况,预测精度更好。

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