Yong Jie WongYoshihisa ShimizuAkinori KamiyaLuksanaree ManeechotKhagendra Pralhad BharambeChng Saun FongNik Meriam Nik Sulaiman2024-05-202024-05-202021Wong, Y. J., Shimizu, Y., Kamiya, A., Maneechot, L., Bharambe, K. P., Fong, C. S., & Nik Sulaiman, N. M. (2021). Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia. Environmental Monitoring and assessment, 193(7), 438.https://repoemc.ukm.my/handle/123456789/1584Due to its tropical climate, the impact of seasonal monsoons on river quality is significant, with the increased occurrence of extreme precipitation events; however, there has been little discussion on the application of artificial intelligence models for monsoonal river classification. In light of these, this study had applied artificial neural network (ANN) and support vector machine (SVM) models for monsoonal (dry and wet seasons) river classification using three of the water quality parameters to minimise the cost of river monitoring and associated errors in WQI computation.enRiver classifcationSeasonal monsoonArtifcial neural networkSupport vector machineWater quality indexJournal