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China GDP Prediction on Traffic and Transportation by PCA

  • Hui-Jun YangEmail author
  • Yan-Xu Wang
  • Jun-Jian Xia
  • Yan Zhang
Conference paper

Abstract

First, based on the Principal Component Analysis on a decade China’ GDP, the main components in traffic and transportation contributing to the GDP are found. Secondly, the GDP is predicted by a more precision regression equation. Thirdly, some results about the GDP prediction are proposed.

Keywords

Principal component analysis Traffic and transportation GDP prediction 

Notes

Acknowledgements

I want to take this chance to thank to my colleagues Wu-Juan, Chun-Gan Wang, Ren-Jie, Hai-Ying Liu and Dong-Fang Huo, who gave me many academic and constructive advices, and help me to correct my paper. And also share time to discuses some interesting questions. All mentioned above are very useful for the writing of this paper.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Hui-Jun Yang
    • 1
    Email author
  • Yan-Xu Wang
    • 2
  • Jun-Jian Xia
    • 3
  • Yan Zhang
    • 1
  1. 1.Military Transportation Command DepartmentArmy Military Transportation UniversityTianjinPeople’s Republic of China
  2. 2.The Fifth Team of Cadets, Army Military Transportation UniversityTianjinPeople’s Republic of China
  3. 3.General Teaching DepartmentMilitary Transportation UniversityTianjinPeople’s Republic of China

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