The influence of weighting was also taken into account. Following the strategy of adaptive weight assignment, the points on training data PCLs were weighted based on the errors to the corresponding point in the target PCL. It should be noted that the trained model in each iteration is evaluated to determine the new weights for the next iteration. The obtained results highlight the effectiveness of using an adaptive weighting function, obtaining better results, even they are not so significant. Additional investigation should be performed in this part, in order to find the most suitable weighting function for this problem.