Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction

Author:

Bai Lu,Liu Zhi,Wang Jianzhou

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation

Reference41 articles.

1. Q. Zhang, J. C. K. Lam, V. O. K. Li, Y. Han, Deep-air: a hybrid CNN-LSTM framework forfine-grained air pollution forecast, (2020) arXiv preprint arXiv:2001.11957

2. Development of air quality forecasting system in macedonia, based on WRF-chem model;Spiridonov;Air Qual. Atmos. Health.,2019

3. Estimating ground level PM2.5 concentrations and associated health risk in India using satellite based AOD and WRF predicted meteorological parameters;Sahu;Chemosphere,2020

4. Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in taiwan;Cheng;Atmos. Environ.,2021

5. Regression trees modeling of time series for air pollution analysis and forecasting;Gocheva-Ilieva;Neural Comput. Appl.,2019

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