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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Main Authors: | , , , , , |
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Format: | Article |
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Elsevier Ltd
2023
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Institution: | Universiti Tenaga Nasional |
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 |
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