Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

Brain; Budget control; Convolution; Convolutional neural networks; Deep neural networks; Deterioration; Errors; Evapotranspiration; Forecasting; Mean square error; Multilayer neural networks; Convolutional neural network; Gated recurrent unit; Long-term forecasting; Memory network; Multiple inputs;...

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Bibliographic Details
Main Authors: Chia M.Y., Huang Y.F., Koo C.H., Ng J.L., Ahmed A.N., El-Shafie A.
Other Authors: 57193957444
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Brain; Budget control; Convolution; Convolutional neural networks; Deep neural networks; Deterioration; Errors; Evapotranspiration; Forecasting; Mean square error; Multilayer neural networks; Convolutional neural network; Gated recurrent unit; Long-term forecasting; Memory network; Multiple inputs; Multiple outputs; Network models; Reference evapotranspiration; Time horizons; Training strategy; Long short-term memory