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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.