Development and comparison of regression models and feedforward backpropagation neural network models to predict seasonal indoor PM2.5–10 and PM2.5 concentrations in naturally ventilated schools

Atmospheric Pollution Research

Volumn 6, Issue 6, 2015, Pages 1013-1023

  Elbayoumi, Maher ^a   Ramli, Nor Azam ^a   Yusof, Noor Faizah Fitri Md ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Feedforward backpropagation; Indoor air quality; Multiple linear regression; Seasonal variations

Indexed keywords

EID: 84954552142     PISSN: 13091042     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apr.2015.09.001     Document Type: Article

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