Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm

• Main Authors: Basri Badyalina,, Nurkhairany Amyra Mokhtar,, Nur Amalina Mat Jan,, Muhammad Fadhil Marsani,, Mohamad Faizal Ramli,, Muhammad Majid,, Fatin Farazh Ya'acob,
• Format: Article
• Language: English
• Published: Penerbit Universiti Kebangsaan Malaysia 2022
• Online Access: http://journalarticle.ukm.my/20470/1/24.pdf; http://journalarticle.ukm.my/20470/; https://www.ukm.my/jsm/malay_journals/jilid51bil8_2022/KandunganJilid51Bil8_2022.html

Linear regression is widely used in flood quantile study that consists of meteorological and physiographical variables. However, linear regression does not capture the complex nonlinear relationship between predictor and target variables. It is rare to find a hydrological application using the g...