Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia-Reference-Cited by-同舟云学术

Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia

Published:2019-09 Issue: Volume:29 Page:100473
ISSN:2212-0955
Container-title:Urban Climate
language:en
Short-container-title:Urban Climate

Author:

Murillo-Escobar J.,Sepulveda-Suescun J.P.,Correa M.A.,Orrego-Metaute D.

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference53 articles.

1. Prediction of PM10 and TSP air pollution parameters using artificial neural network autoregressive, external input models: a case study in salt, Jordan;Alkasassbeh;Middle-East J. Sci. Res.,2013

2. Estos son los sitios donde hace más calor en Medellín;Alvrez Correa,2017

3. Feed-forward artificial neural network model for air pollutant index prediction in the southern region of peninsular Malaysia;Azid;J. Environ. Prot.,2013

4. Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: a case study in Malaysia;Azid;Water Air Soil Pollut.,2014

5. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions;Bai;Atmos. Pollut. Res.,2016

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative analysis of machine learning models for predicting PM2.5 concentrations using meteorological and chemical indicators;Journal of Atmospheric and Solar-Terrestrial Physics;2024-10

2. Modelling the Daily Concentration of Airborne Particles Using 1D Convolutional Neural Networks;ITISE 2024;2024-07-04

3. Atmospheric NO2 Concentration Prediction with Statistical and Hybrid Deep Learning Methods;2024-07-01

4. Forecasting the Exceedances of PM2.5 in an Urban Area;Atmosphere;2024-05-13

5. Modeling Temperature-Dependent Thermoelectric Performance of Magnesium-Based Compounds for Energy Conversion Efficiency Enhancement Using Intelligent Computational Methods;Inorganics;2024-03-09