Feature Selection And Model Prediction Of Air Quality Using PM2.5

Feature Selection And Model Prediction Of Air Quality Using PM2.5

This study was to develop a feed-forward artificial neural network (FANN) prediction model to predict the air quality using PM2.5. Currently, Malaysia does not have any prediction model for concentration of PM2.5. Thus, with the prediction model developed, the concentration of PM2.5 in air can be pr...

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Bibliographic Details
Main Author: Sharon Ding, Tiew Kui
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2018
Subjects:
T Technology
TP Chemical Technology
Online Access:http://eprints.usm.my/53694/
http://eprints.usm.my/53694/1/Feature%20Selection%20And%20Model%20Prediction%20Of%20Air%20Quality%20Using%20PM2.5_Sharon%20Ding%20Tiew%20Kui_K4_2018.pdf

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