Using a machine learning approach to predict the emission characteristics of VOCs from furniture

The emissions of volatile organic compounds (VOCs) from indoor furniture contribute significantly to poor indoor air quality. We have taken a typical machine learning approach using an artificial neural network (ANN), to predict the emission behaviors of VOCs from furniture. The gas-phase VOC concen...

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Veröffentlicht in:	Building and environment 2021-06, Vol.196, p.107786, Article 107786
Hauptverfasser:	Zhang, Rui, Wang, Haimei, Tan, Yanda, Zhang, Meixia, Zhang, Xuankai, Wang, Keliang, Ji, Wenjie, Sun, Lihua, Yu, Xuefei, Zhao, Jing, Xu, Baoping, Xiong, Jianyin
Format:	Artikel
Sprache:	eng
Schlagworte:	Air quality Artificial neural network (ANN) Artificial neural networks Back propagation networks Cloth Correlation analysis Emission Emissions Furniture Indoor air pollution Indoor air quality Indoor environments Learning algorithms Learning theory Leather Machine learning Neural networks Organic compounds Relative humidity VOCs Volatile organic compounds Volatile organic compounds (VOCs)
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