A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing-Reference-Cited by-同舟云学术

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A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing

Published:2024-10 Issue: Volume:136 Page:108974
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zeng Bo^ORCID,Zheng Tingting,Xu Xiaozeng,Wang Jianzhou

Publisher

Elsevier BV

Reference49 articles.

1. Temporal incidence and prevalence of bronchitis and morbidities from exposure to ambient PM2.5 and PM10;Amoatey;Environ. Justice,2021

2. Time series analysis and forecasting of air pollution particulate matter (PM 2.5): an SARIMA and factor analysis approach;Bhatti;IEEE Access,2021

3. PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network;Chae;Sci. Rep.,2021

4. Prediction of PM2.5 concentration based on multiple linear regression;Chen,2019

5. Foundation settlement prediction based on a novel NGM model;Chen;Math. Probl Eng.,2014

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