A performance comparison study on PM2.5 prediction at industrial areas using different training algorithms of feedforward-backpropagation neural network (FBNN)
Presence of particulate matters with aerodynamic diameter of less than 2.5 mu m (PM2.5) in the atmosphere is fast increasing in Malaysia due to industrialization and urbanization. Prolonged exposure of PM2.5 can cause serious health effects to human. This research is aimed to identify the most relia...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Pergamon-Elsevier Science Ltd
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/38780/ |
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