基于BP神经网络的我国航空货运竞争力水平分析——以航空公司的视角
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  • 英文篇名:Analysis on Competitiveness Level of Air Cargo in China Based on BP Neural Network——From the Airlines Perspective
  • 作者:戴澍
  • 英文作者:DAI Shu;Department of Economic Management, Yanhuang Technological College;
  • 关键词:BP神经网络 ; 航空货运 ; 竞争力
  • 英文关键词:BP neural network;;air freight;;competitiveness
  • 中文刊名:YYZJ
  • 英文刊名:Journal of Yueyang Vocational and Technical College
  • 机构:炎黄职业技术学院经济管理系;
  • 出版日期:2019-01-30
  • 出版单位:岳阳职业技术学院学报
  • 年:2019
  • 期:v.34;No.135
  • 语种:中文;
  • 页:YYZJ201901026
  • 页数:6
  • CN:01
  • ISSN:43-1425/Z
  • 分类号:109-114
摘要
随着商业发展和消费水平的增加,我国航空货运业进入了新一轮的上升周期,空运需求急速发展。要提高国内航空货运效率,保证行业间的良性竞争竞争力水平的研究显得尤为重要。该文从航空公司的角度出发,构建航空公司货运情况竞争力水平评价指标体系,依托BP神经网络测算各航空公司的竞争力情况。结合当前的先进理念,提出我国航空公司可持续发展的建议,为航空货运发展提供理论依据。
        With the advance of commerce and consumption level, China's air freight industry has entered a new rise cycle, thus the demand for air transport is booming. It's paramount for our country to improve the efficiency of domestic air freight industry and ensure the pattern of benign competition in industries. The research on the level of competitiveness is particularly important. Embarking from airlines angle, this thesis constructs the assessment system of airlines competitiveness, and is based on BP neural network to calculate the condition of airlines' competitiveness.It is also combined with the current advanced concepts, puts forth the suggestion for the sustainable development in China's airlines, which provides a theoretical foundation for the development of air freight.
引文
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