| 基于BP神经网络的航空运输量短期预测模型 |
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| 引用本文： | 吴璇.基于BP神经网络的航空运输量短期预测模型[J].西安电子科技大学学报(社会科学版),2007,17(3):67-70. |
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| 作者姓名： | 吴璇 |
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| 作者单位： | 天津大学,管理学院,天津,300010 |
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| 摘 要： | 随着我国经济的发展,航空运输业也空前繁荣发展,航空运量受多方面的影响。本文运用误差反传神经网络,综合时间因素、实际进出空港的实际架次与飞机类型、进出空港旅客人数和货物量以及空港气象条件等,探索航空运量的短期预测模型。
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| 关 键 词： | 航空 运量 人工神经网络 预测模型 |
| 文章编号： | 1008-472X(2007)02-0067-04 |
| 修稿时间： | 2007年1月5日 |
Model for Forecasting Air Transportation Based on Back Propagation Neural Network |
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| WU Xuan.Model for Forecasting Air Transportation Based on Back Propagation Neural Network[J].Journal of Xidian University (Social Sciences Edition),2007,17(3):67-70. |
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| Authors: | WU Xuan |
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| Abstract: | With development of economics in China,air transportation industry becomes increasingly prosperous.However,it is restricted to many factors.The paper constructs a model for predicting short-term air transportation capability based on back propagation neural network,and consideration of time,type of airplane,times of taking off or landing,quantity of cargo and climate conditions etc. |
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| Keywords: | Air transport Back propagation neural network Model |
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