Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning

Environmental air quality affects people's lives and has a profound guiding significance for the development of social activities. At present, environmental air quality measurement mainly adopts the method that setting air quality detectors at specific monitoring points in cities with fix-time...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.145067-145081
Hauptverfasser:	Wang, Zhenyu, Zheng, Wei, Song, Chunfeng, Zhang, Zhaoxiang, Lian, Jie, Yue, Shaolong, Ji, Senrong
Format:	Artikel
Sprache:	eng
Schlagworte:	Air quality Algorithms AQI measurement Artificial neural networks Atmospheric measurements CNN Convolutional neural networks Datasets Deep learning Ensemble learning Environmental monitoring Feature extraction Image quality image recognition Machine learning Neural networks Pollution measurement Quality assessment Random sampling Task analysis
Online-Zugang:	Volltext
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