Past, Present, and Future of Using Neuro-Fuzzy Systems for Hydrological Modeling and Forecasting

Past, Present, and Future of Using Neuro-Fuzzy Systems for Hydrological Modeling and Forecasting

Neuro-fuzzy systems (NFS), as part of artificial intelligence (AI) techniques, have become popular in modeling and forecasting applications in many fields in the past few decades. NFS are powerful tools for mapping complex associations between inputs and outputs by learning from available data. Ther...

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Bibliographic Details
Main Authors: Yik Kang Ang, Amin Talei, Izni Zahidi, Ali Rashidi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Hydrology
Subjects:
neuro-fuzzy systems
hydrological modeling
artificial intelligence
Online Access:https://www.mdpi.com/2306-5338/10/2/36

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