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 :

: Other sophisticated adaptive strategies can become computationally expensive as the number of training points accumulates over time. RAR is often viewed as a more balanced fit because it can refine the model without letting the training set grow uncontrollably. Strengths : 13988 rar

: It significantly improves the speed at which a model converges to a solution. 13988 rar