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

被引：3

作者：

Liu, Shuai ^{[1
]}

Li, Sicheng ^{[2
]}

机构：

[1] Hubei Univ Technol, Sch Econ & Management, Wuhan 430068, Hubei, Peoples R China

[2] Huazhong Agr Univ, Coll Econ & Management, Wuhan 430070, Hubei, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2019年 / 31卷 / 12期

基金：

中国国家社会科学基金;

关键词：

Kalman filtering; Environmental cost; Dynamic monitoring; State-space model; KALMAN FILTER; OPTIMALITY; STABILITY;

D O I：

10.1007/s00521-018-3960-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：8337 / 8350

页数：14

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