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: Zaher Mundher Yaseen, Isa Ebtehaj, Sungwon Kim, Hadi Sanikhani, H. Asadi, Mazen Ismaeel Ghareb, Hossein Bonakdari, Wan Hanna Melini Wan Mohtar, Nadhir Al-Ansari, Shamsuddin Shahid
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Water
Subjects:
hybrid ANFIS model
rainfall time series forecasting
stochasticity
uncertainty analysis
Online Access:http://www.mdpi.com/2073-4441/11/3/502

Internet

http://www.mdpi.com/2073-4441/11/3/502

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