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

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

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...

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Bibliographic Details
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/87953/1/ZaherMundher2019_NovelHybridDataIntelligenceModel.pdf

Internet

http://eprints.utm.my/87953/1/ZaherMundher2019_NovelHybridDataIntelligenceModel.pdf

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