Water quality prediction of the Yamuna River in India using hybrid neuro-fuzzy models

Water quality prediction of the Yamuna River in India using hybrid neuro-fuzzy models

The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and teaching–learning-based optimization algorithm, was investigated in this study in estimating the water quality of the Yamuna River in Delhi, India. A cr...

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Bibliographic Details
Main Authors: Kisi, Ozgur, Parmar, Kulwinder Singh, Amin Mahdavi-Meymand, Amin Mahdavi-Meymand, Muhammad Adnan, Rana, Shahid, Shamsuddin, Mohammad Zounemat-Kermani, Mohammad Zounemat-Kermani
Format: Article
Language:English
Published: MDPI 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/107539/1/ShamsuddinShahid2023_WaterQualityPredictionoftheYamunaRiver.pdf
http://eprints.utm.my/107539/
http://dx.doi.org/10.3390/w15061095
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/107539/1/ShamsuddinShahid2023_WaterQualityPredictionoftheYamunaRiver.pdf
http://eprints.utm.my/107539/
http://dx.doi.org/10.3390/w15061095

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