Optimizing radial basis function networks for harmful algal bloom prediction: a hybrid machine learning approach

The deployment of artificial intelligence in environmental monitoring demands models balancing efficiency, interpretability, and computational cost. This study proposes a hybrid radial basis function network (RBFN) framework integrated with fuzzy c-means (FCM) clustering for predicting harmful a...

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Bibliographic Details

Main Authors:	Nik Mohd Kamal, Nik Nor Muhammad Saifudin, Zainuddin, Ahmad Anwar, Amir Hussin, Amir 'Aatieff, Annas, Ammar Haziq, Mohammad Noor, Normawaty, Mohd Razali, Roziawati
Format:	Article
Language:	en
Published:	Institute of Advanced Engineering and Science (IAES) 2025
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/124880/2/124880_Optimizing%20radial%20basis%20function.pdf http://irep.iium.edu.my/124880/ https://ijece.iaescore.com/index.php/IJECE/article/view/40024
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