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Three-dimensional dynamic monitoring of environmental cost based on state-space model

  • S.I.: Machine Learning - Applications & Techniques in Cyber Intelligence
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Abstract

This paper discusses the applicability of Kalman filter in 3D dynamic monitoring of environmental cost. By selecting Kalman filtering algorithm which is suitable for dynamic environmental cost monitoring, the three-dimensional state-space model of environmental cost and the three-dimensional observation system were established based on the analysis and test of the three-dimensional dynamic data of environmental cost. In addition, by analyzing the algorithm of 3D dynamic monitoring model of environmental cost, a three-dimensional state-space monitoring model of environmental cost based on Kalman filter was constructed. Finally, empirical research study of the cement manufacturing enterprise of Ezhou city of Hubei province was carried out.

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Acknowledgements

This paper is supported by the National Social Science Fund of China (Program No. 18CGL011).

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Authors and Affiliations

  1. School of Economics and Management, Hubei University of Technology, Wuhan, 430068, People’s Republic of China

    Shuai Liu

  2. College of Economics and Management, Huazhong Agricultural University, Wuhan, 430070, Hubei, People’s Republic of China

    Sicheng Li

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  1. Shuai Liu
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  2. Sicheng Li
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Correspondence to Sicheng Li.

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Liu, S., Li, S. Three-dimensional dynamic monitoring of environmental cost based on state-space model. Neural Comput & Applic 31, 8337–8350 (2019). https://doi.org/10.1007/s00521-018-3960-9

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