Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam
This study examines the predictive efficiency of several feature selection approaches in air quality models aimed to predict next-day PM2.5 concentrations in Shah Alam, Malaysia. Air pollution in urban areas is a significant public health concern, and accurate prediction models are essential for tim...
| Published in: | International Journal of Advanced Computer Science and Applications |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000672793&doi=10.14569%2fIJACSA.2024.0151148&partnerID=40&md5=ac387223414c643c39b33d00b142c970 |