Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Version 2 2024-06-13, 17:46
Version 1 2022-09-29, 05:00
journal contribution
posted on 2024-06-13, 17:46 authored by M Karbasi, M Jamei, M Ali, A Malik, ZM YaseenForecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
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Journal
Computers and Electronics in AgricultureVolume
198Article number
107121Pagination
1-17Location
Amsterdam, The NetherlandsISSN
0168-1699eISSN
1872-7107Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
ElsevierUsage metrics
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No categories selectedKeywords
AgricultureAgriculture, MultidisciplinaryALGORITHMAuto Decoder EncoderBi-LSTMBoruta-CatboostComputer ScienceComputer Science, Interdisciplinary ApplicationsFAO-56 Penman-MonteithForecastingGAUSSIAN PROCESS REGRESSIONLife Sciences & BiomedicineLIMITED METEOROLOGICAL DATAMULTISTEPNEURAL-NETWORKSREFERENCE CROP EVAPOTRANSPIRATIONReference evapotranspirationScience & TechnologySVMTechnology
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