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-Reference-Cited by-同舟云学术

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

Published:2015-11 Issue:6 Volume:6 Page:1013-1023
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

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

Funder

Universiti Sains Malaysia (USM)

School of Civil Engendering

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

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