Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis

• Main Authors: Yaseen, Zaher Mundher, Ebtehaj, Isa, Kim, Sungwon, Sanikhani, Hadi, Asadi, H., Ghareb, Mazen Ismaeel, Bonakdari, Hossein, Wan Mohtar, Wan Hanna Melini, Al-Ansari, Nadhir, Shahid, Shamsuddin
• Format: Article
• Language: English
• Published: MDPI AG 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/87953/1/ZaherMundher2019_NovelHybridDataIntelligenceModel.pdf; http://eprints.utm.my/id/eprint/87953/; http://dx.doi.org/10.3390/w11030502
• Institution: Universiti Teknologi Malaysia

In this research, three different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated with the adaptive neuro-fuzzy inference system (ANFIS) model. The developed hybrid models are proposed to forecast rainfa...