Co-Training Semi-Supervised Learning for Fine-Grained Air Quality Analysis

Co-Training Semi-Supervised Learning for Fine-Grained Air Quality Analysis

Due to the limited number of air quality monitoring stations, the data collected are limited. Using supervised learning for air quality fine-grained analysis, that is used to predict the air quality index (AQI) of the locations without air quality monitoring stations, may lead to overfitting in that...

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Bibliographic Details
Main Authors:	Yaning Zhao, Li Wang, Nannan Zhang, Xiangwei Huang, Lunke Yang, Wenbiao Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Atmosphere
Subjects:	air quality fine-grained analysis co-training semi-supervised learning k-nearest neighbors algorithm deep neural network
Online Access:	https://www.mdpi.com/2073-4433/14/1/143

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