Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine

Air Quality Index Forecasting via Genetic Algorithm-Based Improved Extreme Learning Machine

Air quality has always been one of the most important environmental concerns for the general public and society. Using machine learning algorithms for Air Quality Index (AQI) prediction is helpful for the analysis of future air quality trends from a macro perspective. When conventionally using a sin...

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Bibliographic Details
Main Authors: Chunhao Liu, Guangyuan Pan, Dongming Song, Hao Wei
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Time series
air quality forecasting
machine learning
extreme learning machine
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/10168889/

Internet

https://ieeexplore.ieee.org/document/10168889/

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