Adaptive CAD-Model Construction Schemes

Two advanced surrogate model construction techniques are discussed in this paper. The models employ radial basis function (RBF) interpolation scheme or artificial neural networks (ANN) with a new training algorithm. Adaptive sampling technique is applied with respect to all variables. Histograms showing the quality of the models are presented. While the quality of RBF models is satisfactory, the performance of the ANN models obtained with a new training scheme is superior and comparable to the rational function models.