globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-04476-w
论文题名:
The nonlinear time lag multivariable grey prediction model based on interval grey numbers and its application
作者: Xiong P.; Zou X.; Yang Y.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
语种: 英语
中文关键词: Grey system ; Interval grey number ; Nonlinear ; Smog ; Time lag
英文摘要: The linear relationship of the original grey prediction model is too single, and the original grey prediction model does not consider the time delay of the effect of the current input parameters on the output parameters. In order to solve these problems, the interval grey number sequence is taken as the modelling sequence of the model, and the nonlinear parameter γ and the time-delay parameter τ are introduced into the multivariate grey prediction model, so as to construct the nonlinear time-delay multivariable grey prediction model for interval grey number. In view of the uncertain characteristics of the smog index data, this paper applies the improved model to the simulation and prediction of the smog index data. Compared with the original model, the results show that the prediction effect of the model proposed in this paper is superior to the original model in terms of its effectiveness and feasibility. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169477
Appears in Collections:气候变化与战略

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作者单位: School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Jiangsu Statistical Science Research Base, Nanjing University of Information Science and Technology, Nanjing, 210044, China; College of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Institute of Artificial Intelligence, De Montfort University, Leicester, LE1 9BH, United Kingdom

Recommended Citation:
Xiong P.,Zou X.,Yang Y.. The nonlinear time lag multivariable grey prediction model based on interval grey numbers and its application[J]. Natural Hazards,2021-01-01
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