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Found 2 papers, 2 papers with code
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs
Our recent intensive study has found that physics-informed neural networks (PINN) tend to be local approximators after training.
Utilising physics-guided deep learning to overcome data scarcity
Deep learning (DL) relies heavily on data, and the quality of data influences its performance significantly.
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