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Updated: Jul 25, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

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在COVID-19流行病的影响下,估计中国的CO2排放量,使用一种新的分数多变量非线性灰色模型

Wen Lei1, Shuhua Mao1, Yonghong Zhang1

  • 1School of Science, Wuhan University of Technology, Wuhan, 430070 China.

Environment, development and sustainability
|June 26, 2023
PubMed
概括

在2020年,COVID-19大流行使中国的二氧化碳排放量减少了3.15%. 一个新的分数灰色模型准确地预测这些排放,帮助低碳转型政策.

关键词:
在COVID-19大流行中,卡普托类型的分数衍生品中国的二氧化碳排放量FMNGM ((q,N) 模型中的一个.量子粒子蜂群优化优化 量子粒子蜂群优化

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