Air temperature prediction using different machine learning models
Air temperature is an essential climatic component particularly in water resources management and other agro-hydrological/meteorological activities planning This paper examines the prediction capability of three machine learning models, least square support vector machine (LSSVM), group method and d...
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Main Authors: | Adnan, Rana Muhammad (Author), Liang, Zhongmin (Author), Kuriqi, Alban (Author), Kisi, Ozgur (Author), Malik, Anurag (Author), Li, Binquan (Author), Mortazavizadeh, Fatemehsadat (Author) |
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Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2021-04-01.
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Online Access: | Get fulltext |
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