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Link to original content: https://doi.org/10.1007/s10586-018-2407-5
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Grey three index prediction method based on data assimilation preprocessing

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Abstract

In order to improve the effectiveness of analysis on human capital of migrant worker, a kind of analysis method on human capital of migrant worker based on the gray-level cubic exponential prediction preprocessed by data assimilation is proposed. Firstly, by analyzing the action mechanism of human capital of migrant workers to economic growth, a kind of analysis model on human capital of migrant workers with opening degree and government intervention is designed; secondly, in order to enhance the performance of Kalman filtering algorithm, combining with output features predicted in the model for human capital of migrant workers, the Kalman data assimilation algorithm with local set transformation is designed. And then, the way of division point is set to build the sliding window, and the cubic exponential smoothing algorithm is combined to make real-time segmentation for the data in grey model, so as to acquire the real-time statistic feature of data. Finally, by empirical analysis on human capital of Chinese migrant workers, the algorithm effectiveness is verified.

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References

  1. Yang, X.J.: The contribution of migrant workers to economic growth and their sharing of the success. Chin. J. Popul. Sci. 6, 66–74 + 112 (2012)

  2. Peng, G.H.: Total factor productivity and composition of human capital in Chinese provinces. China Ind. Econ. 2, 52–59 (2007)

    Google Scholar 

  3. Wu, Y.H., Fu, C.Y.: Grade education, human capital and regional economic growth. Soc. Sci. J. 3, 88–94 (2014)

    Google Scholar 

  4. Gasper, D., Portocarrero, A.V., Clair, A.L.S.: An analysis of the human development report 2011: sustainability and equity: a better future for all. S. Afr. J. Hum. Rights 29(1), 91–124 (2013)

    Google Scholar 

  5. Yuan, X., Liu, H.L.: Is the demographic dividend really ending in China? Popul. Econ. 6, 35–43 (2014)

    Google Scholar 

  6. Li, H.Z., Li, B., Qiu, Y.F., Guo, D.Z., Tang, T.: China’s human capital measurement: method, results and applications. J. Cent. Univ. Financ. Econ. 5, 69–78 (2014)

    Google Scholar 

  7. Schmutte, I.M.: Job referral networks and the determination of earnings in local labor markets. J. Labor Econ. 33(1), 1–32 (2015)

    Google Scholar 

  8. Halter, D., Oechslin, M., Zweimüller, J.: Inequality and growth: the neglected time dimension. J. Econ. Growth 19(1), 81–104 (2014)

    Google Scholar 

  9. Tong, X.M., Jin, H.T., Shi, Q.H.: An empirical study on assimilation process of urban migrant workers: from the perspectives of human capital and social capital. Econ. Surv. 1(5), 33–37 (2012)

    Google Scholar 

  10. Qian, H., Acs, Z.J., Stough, R.R.: Regional systems of entrepreneurship: the nexus of human capital, knowledge and new firm formation. J. Econ. Geogr. 13(4), 559–587 (2013)

    Google Scholar 

  11. Acemoglu, D., Aghion, P., Zilibotti, F.: Distance to frontier selection and economic growth. NBER working paper (2002)

  12. Aghion, P., Howitt, P., Violante, G.L.: General purpose technology and wage inequality. J. Econ. Growth 7(4), 315–345 (2002)

    Google Scholar 

  13. Liu, H.Y., Ma, Y.F.: How far is the employment transformation of the second-generation migrant workers. Appl. Mech. Mater. 651–653(6), 1586–1589 (2014)

    Google Scholar 

  14. Han, H.B., Zhao, L.F., Zhang, L.: The influence of heterogeneous human capital on agricultural environmental total factor productivity: empirical research based on rural panel data. J. Cent. Univ. Finance Econ. 5, 105–112 (2014)

    Google Scholar 

  15. Fan, H.Z., Huang, Y.M., Lian, Y.J.: The life time of employment, the persistence of laborers’ income and the radio of our resident consumption in china: based on the analysis of the ratio of formal laborers’ income and the ratio of informal laborers’ income. China Econ. Q. 4, 1209–1230 (2013)

    Google Scholar 

  16. Fernandes, S.L., Gurupur, V.P., Sunder, N.R., Arunkumar, N., Kadry, S.: A novel nonintrusive decision support approach for heart rate measurement. Pattern Recogn. Lett. (2017). https://doi.org/10.1016/j.patrec.2017.07.002

    Google Scholar 

  17. Arunkumar, N., Kumar, K.R., Venkataraman, V.: Automatic detection of epileptic seizures using new entropy measures. J. Med. Imaging Health Inf. 6(3), 724–730 (2016)

    Google Scholar 

  18. Arunkumar, N., Ram Kumar, K., Venkataraman, V.: Automatic detection of epileptic seizures using permutation entropy, Tsallis entropy and Kolmogorov complexity. J. Med. Imaging Health Inf. 6(2), 526–531 (2016)

    Google Scholar 

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Acknowledgements

The research is supported by National Natural Science Foundation of China (71273179, 71303161, 71203146, 71273177, 71573179), Liaoning University Innovation Team Support Program (WT2015009), Social Science Foundation of Liaoning Province (L16BGL038), Youth Project of the Philosophy and Social Science Research, Ministry of Education (13YJC790057), Program for Liaoning Excellent Talents in University (WJQ2015026), Liaoning special Professor support program (2013).

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Authors and Affiliations

  1. College of Economics and Management, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China

    Zhouyu Tian, Jinqi Jiang, Mi Zhou, Xiaoli Yang & Zhenhua Wang

  2. Business School, Liaoning University, Shenyang, 110136, Liaoning, China

    Guangsheng Zhang

  3. School of Economics and Management, Shenyang Institute of Technology, Fushun, 113122, Liaoning, China

    Zhouyu Tian

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  1. Zhouyu Tian
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  2. Guangsheng Zhang
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  3. Jinqi Jiang
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  4. Mi Zhou
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  5. Xiaoli Yang
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  6. Zhenhua Wang
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Correspondence to Guangsheng Zhang.

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Tian, Z., Zhang, G., Jiang, J. et al. Grey three index prediction method based on data assimilation preprocessing. Cluster Comput 22 (Suppl 2), 4859–4867 (2019). https://doi.org/10.1007/s10586-018-2407-5

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