13988 Rar -

: The method identifies "large residual error points"—areas where the model's current predictions deviate most from the physical laws it is trying to learn. It then adds more training points in those specific regions to refine the model's accuracy. Comparison to Other Methods :

Residual-based Adaptive Refinement is a strategy used to improve the accuracy and efficiency of by intelligently selecting training data points. 13988 rar

: It is generally more memory-efficient than strategies that constantly add new points to the dataset. Weaknesses : 13988 rar