Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam

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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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	International Journal of Advanced Computer Science and Applications
المؤلف الرئيسي:	2-s2.0-86000672793
التنسيق:	مقال
اللغة:	English
منشور في:	Science and Information Organization 2024
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000672793&doi=10.14569%2fIJACSA.2024.0151148&partnerID=40&md5=ac387223414c643c39b33d00b142c970

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