Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

Evapotranspiration is one of agricultural water management's most significant and impactful hydrologic processes. A new multi-decomposition deep learning-based technique is proposed in this study to forecast weekly reference evapotranspiration (ETo) in western coastal regions of Australia (Redcliffe...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, Anurag Malik, Xuefeng Chu, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2023-12-01
Σειρά:	Agricultural Water Management
Θέματα:	Evapotranspiration Agriculture engineering Deep learning Boruta feature selection Recurrent neural network
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S0378377423004699
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