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The Forecast of Our Private Car Ownership with GM(1,1) Model

  • Conference paper
Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

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Abstract

The data of our private car ownership in recent years has been analyzed, a strong trend of exponential growth has been found in this data, and the GM (1,1) model for this data has been established in this paper.The result is given to show that the precision of the model is high, and is used to forecast the future of the private car ownership.

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References

  1. Deng, J.: Estimate and Decision of Grey System. Huazhong University of Science& Technology Press, Wuhan (2002) (in Chinese)

    Google Scholar 

  2. Zhang, Y., Wei, Y., Xiong, C.-w.: One new optimized method of GM (1, 1) model. Systems Engineering Theory & Practice (4), 141–146 (2007)

    Google Scholar 

  3. Zhang, Y., Wei, Y., Zhou, P.: The Improved Approach of Grey Derivative in GM(1,1) Model. The Journal of Grey System (4), 375–380 (2006)

    Google Scholar 

  4. Zhang, Y., Wei, Y., Xiong, C.-w.: An Approach of GM(1,1) Based on Optimum Grey Derivative. The Journal of Grey System(UK) (4), 397–404 (2007)

    Google Scholar 

  5. Zhang, Y., Wei, Y., Xiong, C.-w.: A New Method to Find The Original Value of Various GM(1,1) With Optimum Background Value. In: 2008 IEEE Intl Conference on Systems, Man and Cybernetics, vol. 10, pp. 2476–2480 (2008)

    Google Scholar 

  6. National Bureau of Statistics, China Statistical Yearbook. China Statistics Press, Beijing (2009)

    Google Scholar 

  7. Society of Automotive Engineers, Automotive Blue Book . Social Sciences Academic Press, Beijing (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Mathematics and Information, China West Normal University, Nanchong, Sichuan, 637002

    Yi Zhang

Authors
  1. Yi Zhang
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, Y. (2011). The Forecast of Our Private Car Ownership with GM(1,1) Model. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_15

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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