Comparison of improved hybrid FTS models for forecasting the urban air quality index-Reference-Cited by-同舟云学术

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Comparison of improved hybrid FTS models for forecasting the urban air quality index

Published:2023-11 Issue: Volume:428 Page:139234
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Dong Kun,Ran Peng,Fan Qinyang,Liu Xu,Li Weiqi

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference58 articles.

1. An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique;Almalawi;Environ. Res.,2022

2. Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality;Al-qaness;Environ. Res.,2021

3. A new hybrid fuzzy time series model with an application to predict PM10 concentration;Alyousifi;Ecotoxicol. Environ. Saf.,2021

4. Air pollution forecasts: an overview;Bai;Int. J. Environ. Res. Publ. Health,2018

5. Monthly River discharge prediction by wavelet fuzzy time series method;Başakin;Int. J. Uncertain. Fuzziness Knowledge-Based Syst.,2021

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