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A novel application of transformer neural network (TNN) for estimating pan evaporation rate

For decision-making in farming, the operation of dams and irrigation systems, as well as other fields of water resource management and hydrology, evaporation, as a key activity throughout the universal hydrological processes, entails efficient techniques for measuring its variation. The main challen...

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Main Authors:	Abed M., Imteaz M.A., Ahmed A.N., Huang Y.F.
其他作者:	36612762700
格式:	Article
出版:	Springer Science and Business Media Deutschland GmbH 2024
主题:	Convolutional neural network Evaporation Long short-term memory Self-attention Transformer neural network Malaysia Benchmarking Brain Convolution Convolutional neural networks Crops Decision making Farms Forecasting Irrigation Stochastic models Stochastic systems Water management Learning models Malaysians Neural-networks Novel applications Pan evaporation Predictive models Water loss artificial neural network data set evaporation machine learning numerical model prediction
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