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本文利用社会经济发展和航空运输需求之间的关系,探讨了影响航空港客运量的因素,从而建立起航空港客运需求量预测模型。并采用多元回归分析的SPSS软件和神经网络分析的EasyNN软件,对航空港客运需求量进行预测,从预测误差分析结果证明预测的可信性。
In this paper, the relationship between socio-economic development and the demand for air transport is discussed to explore the factors that affect the passenger transport capacity of the airport, so as to establish the passenger demand forecast model for the airport. The multivariate regression analysis software SPSS and the software EasyNN of neural network analysis are used to predict the passenger demand of the airport. The prediction error analysis results show the credibility of the forecast.