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...

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Autors principals:	Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, Anurag Malik, Xuefeng Chu, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-12-01
Col·lecció:	Agricultural Water Management
Matèries:	Evapotranspiration Agriculture engineering Deep learning Boruta feature selection Recurrent neural network
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S0378377423004699
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