2-s2.0-86000672793. (2024). Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam. International Journal of Advanced Computer Science and Applications, 15(11), . https://doi.org/10.14569/IJACSA.2024.0151148
芝加哥风格引文2-s2.0-86000672793. "Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam." International Journal of Advanced Computer Science and Applications 15, no. 11 (2024). https://doi.org/10.14569/IJACSA.2024.0151148.
MLA引文2-s2.0-86000672793. "Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam." International Journal of Advanced Computer Science and Applications, vol. 15, no. 11, 2024, https://doi.org/10.14569/IJACSA.2024.0151148.