... to factors such as random loading, variations in material properties, and stochastic user conditions. Consequently, the model uncertainty ε Y ( X ) becomes a function of X with aleatory uncertainty, leading to coupled uncertainty. The GP regression is taken as an example. The model...

... (MTDF) model, which fully utilizes the information provided by each of these types of data. To capture the underlying trend implied in the multiple types of data, the method approximately interpolates the noise-free data, while regressing the noisy data. The prediction accuracy of the MTDF model...

... 2011 design engineering radial basis function networks response surface methodology solid modelling approximation regression interpolation metamodel response surface prediction RBF-HDMR functional form black-box function Metamodeling techniques find a wide range of uses...