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

• Main Authors: Abed M., Imteaz M.A., Ahmed A.N., Huang Y.F.
• Other Authors: 36612762700
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: 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

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...