基于遗传算法和神经网络理论的机场航空业务量的预测模型

A Prediction Model of Airport Aviation Portfolio Based on Genetic Arithmetic and Artificial Neural Network Theory

航空业务量预测是机场规划的基础。常用的预测方法无法同时考虑较多的影响因素,预测结果的精度较低,缺乏客观性。本文运用遗传算法和神经网络理论,综合考虑GDP增长率、人口增长率、进出口总量等因素对航空运输市场的影响,得出一种较为完善的航空业务量的预测模型。

Airport scheme is based on the prediction of aviation portfolio. There are many kinds of methods to forecast that. Because many factors cannot be taken into account, the precision is bad. Ti is important to improve these methods. A prediction mode based on the theory of genetic arithmetic and artificial neural network can take the effect of GDP, population, imports and exports into account. According to the theoretical analysis and practical verify, the approach is feasible completely, at the same time, its precision is better than the others.