[PDF][PDF] Estimation of reference evapotranspiration using machine learning models with limited data
… This paper investigated the four ML models in estimating daily reference
evapotranspiration, including LSTM, GBR, RF, and SVR with Penman-Monteith as a standard
reference model with four various input combinations at semi-arid climate conditions of
Hyderabad and Waipara Stations. We have reportingly found that LSTM performed the best at
two stations. Three other … It has also shown that this study resembles the assessment of
reference evapotranspiration found by [63] where SVR, was found to be used as an alternative …
evapotranspiration, including LSTM, GBR, RF, and SVR with Penman-Monteith as a standard
reference model with four various input combinations at semi-arid climate conditions of
Hyderabad and Waipara Stations. We have reportingly found that LSTM performed the best at
two stations. Three other … It has also shown that this study resembles the assessment of
reference evapotranspiration found by [63] where SVR, was found to be used as an alternative …
AIMS Geosciences, 7 (3): 268–290. DOI: 10.3934/geosci. 2021016 Received: 28 May 2021 Accepted: 05 July 2021 Published: 07 July 2021 http://www. aimspress. com/journal/geosciences
pdfs.semanticscholar.org
以上显示的是最相近的搜索结果。 查看全部搜索结果