A neural network learns a global function approximator from source mesh data to enable accurate interpolation onto arbitrary target meshes, with radial basis function networks offering the best accuracy-efficiency balance.
Deep air learning: Interpolation, prediction, and feature analysis of fine-grained air quality.IEEE Transactions on Knowledge and Data Engineering, 30(12):2285–2297, December 2018
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DataTransfer: Neural network based interpolation across non-nested meshes
A neural network learns a global function approximator from source mesh data to enable accurate interpolation onto arbitrary target meshes, with radial basis function networks offering the best accuracy-efficiency balance.