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

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 (Redc...

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Bibliographic Details
Main Authors: Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, Anurag Malik, Xuefeng Chu, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Agricultural Water Management
Subjects:
Evapotranspiration
Agriculture engineering
Deep learning
Boruta feature selection
Recurrent neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377423004699

Internet

http://www.sciencedirect.com/science/article/pii/S0378377423004699

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