Suchergebnisse - "Auto Decoder Encoder"

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Autoren: Karbasi, Masoud Jamei, Mehdi Ali, Mumtaz et al.

Quelle: Computers and Electronics in Agriculture. 198:107121

Schlagwörter: FAO-56 Penman-Monteith, 13. Climate action, Bi-LSTM, 0208 environmental biotechnology, 0207 environmental engineering, Reference evapotranspiration, 02 engineering and technology, Auto Decoder Encoder, Boruta-Catboost, 7. Clean energy, 6. Clean water, Forecasting

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Autoren: M Karbasi M Jamei M Ali et al.

Schlagwörter: Agriculture, Multidisciplinary, ALGORITHM, Auto Decoder Encoder, Bi-LSTM, Boruta-Catboost, Computer Science, Interdisciplinary Applications, FAO-56 Penman-Monteith, Forecasting, GAUSSIAN PROCESS REGRESSION, Life Sciences & Biomedicine, LIMITED METEOROLOGICAL DATA, MULTISTEP, NEURAL-NETWORKS, REFERENCE CROP EVAPOTRANSPIRATION, Reference evapotranspiration, Science & Technology, SVM, Technology

Relation: http://hdl.handle.net/10779/DRO/DU:21063733.v2

Verfügbarkeit: http://hdl.handle.net/10779/DRO/DU:21063733.v2
https://figshare.com/articles/journal_contribution/Forecasting_weekly_reference_evapotranspiration_using_Auto_Encoder_Decoder_Bidirectional_LSTM_model_hybridized_with_a_Boruta-CatBoost_input_optimizer/21063733