Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors

Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors

The current study investigates the effect of a large climate index, such as NINO3, NINO3.4, NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an improved Adaptive Neuro Fuzzy Inference System (ANFIS) during 1987−2007. The bat algorithm (BA), particle swarm...

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Bibliographic Details
Main Authors: Mohammad Ehteram, Haitham Abdulmohsin Afan, Mojgan Dianatikhah, Ali Najah Ahmed, Chow Ming Fai, Md Shabbir Hossain, Mohammed Falah Allawi, Ahmed Elshafie
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Water
Subjects:
ANFIS-BA
ANFIS-PSO
ANFIS-GA
large climate index
ENSO
Online Access:https://www.mdpi.com/2073-4441/11/6/1130

Internet

https://www.mdpi.com/2073-4441/11/6/1130

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