A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Air quality index and air pollutant concentration prediction based on machine learning algorithms
H Liu, Q Li, D Yu, Y Gu - Applied sciences, 2019 - mdpi.com
Air pollution has become an important environmental issue in recent decades. Forecasts of
air quality play an important role in warning people about and controlling air pollution. We …
air quality play an important role in warning people about and controlling air pollution. We …
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
Artificial intelligence (AI) techniques have substantially changed the research paradigm in
the field of air quality forecasting due to their powerful performance. Considering the …
the field of air quality forecasting due to their powerful performance. Considering the …
Forecasting air pollutant indicator levels with geographic models 3 days in advance using neural networks
An early warning system for air quality control requires an accurate and dependable
forecasting of pollutants in the air. In this study methods based on geographic forecasting …
forecasting of pollutants in the air. In this study methods based on geographic forecasting …
Prediction of air quality in Tehran by develo** the nonlinear ensemble model
Abstract Prediction Air Quality Index (AQI) is a useful technique to improve public awareness
about air quality in next days that is a great concern in developed and develo** countries …
about air quality in next days that is a great concern in developed and develo** countries …
Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
The use of data-driven techniques such as artificial neural network (ANN) models for
outdoor air pollution forecasting has been popular in the past two decades. However …
outdoor air pollution forecasting has been popular in the past two decades. However …
Spatial air quality index and air pollutant concentration prediction using linear regression based recursive feature elimination with random forest regression (RFERF) …
S Ketu - Natural Hazards, 2022 - Springer
In the last decade, air pollution has become one of the vital environmental issues and has
expanded its wings day by day. Prediction of air quality plays a crucial role in warning …
expanded its wings day by day. Prediction of air quality plays a crucial role in warning …
Forecasting peak air pollution levels using NARX models
Air pollution has a negative impact on human health. For this reason, it is important to
correctly forecast over-threshold events to give timely warnings to the population. Nonlinear …
correctly forecast over-threshold events to give timely warnings to the population. Nonlinear …
Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification
Y Feng, W Zhang, D Sun, L Zhang - Atmospheric Environment, 2011 - Elsevier
Multi Artificial Neural Network (ANN) models are used to forecast ozone concentration on
single-site for a better forecast accuracy in huge dataset condition. Support Vector Machine …
single-site for a better forecast accuracy in huge dataset condition. Support Vector Machine …