Optimization using Artificial Neural Networks

Han, Man-Wook; Kopacek, Peter

doi:10.1016/s1474-6670(17)46576-1

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“…The statistical responses may be interpolation models as the usual kriging or regression models as polynomial chaos expansions [18,19], radial basis function [20], or artificial neural network [21]. These models has been already applied to the resolution of optimisation problems in various physics [22][23][24][25][26] giving satisfactory results. Kriging has also been used to mimic some outputs of crash simulations [27].…”

Section: Introductionmentioning

confidence: 99%