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W2085280107 abstract "In the engineering design process, approximation Technique could guarantee the fitting precision, speed up the design process and reduce design costs. To a certain extent, surrogate models could replace time-consuming and highly accurate computational fluid dynamics analysis gradually. In this paper, we take Optimal Latin Hypercube Sampling experimental design strategies to determine the sample space and error analysis test sample, adopt the principle of infilling criteria based on the maximum error to improve the accuracy of the surrogate model, test the unimodal and multimodal expensive functions of 10 dimension, 20 dimensions and 30 dimensions, study the performance and scope of EBF-NN surrogate model based on infilling criteria by comparing the RBF-NN surrogate model." @default.
W2085280107 created "2016-06-24" @default.
W2085280107 creator A5007269453 @default.
W2085280107 creator A5008722115 @default.
W2085280107 creator A5051297252 @default.
W2085280107 date "2015-02-01" @default.
W2085280107 modified "2023-09-23" @default.
W2085280107 title "Surrogating for High Dimensional Computationally Expensive Multi-Modal Functions with Elliptical Basis Function Models" @default.
W2085280107 doi "https://doi.org/10.4028/www.scientific.net/amm.733.880" @default.
W2085280107 hasPublicationYear "2015" @default.
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