Sentence examples for multivariate metamodelling has from inspiring English sources

Multivariate metamodelling has, at least in principle, the capacity to reveal the relationships between all input parameters and all model outputs simultaneously.

Metamodelling has been widely used in e.g. engineering, for speed-up of computations, sensitivity analysis and uncertainty assessment [ 37], and recently, multivariate metamodelling using PLSR [ 25- 28, 30, 38] and HC-PLSR [ 5, 6, 29] has been shown to be effective for analysis of the complex, nonlinear input output relationships of biological models.

The adopted application metamodel has been formulated based on this assumption and it resembles Kahn Process Network (KPN) [9] model.

To enhance computational efficiency in reliability analysis, metamodeling has been widely adopted for reliability assessment.

The paper describes how the metamodel has been tailored for a specific domain, viz.

Simulation metamodeling has been a major research field during the last decade.

The use of metamodels has permitted to analyze the influence of each design variable.

Thus, a first version of a complete "modelome" of the mathematical phenomenon "line curvature" has been established by multivariate metamodelling and described in terms of quantitative maps both to the original model parameters in the 38 individual models and to human verbal description of curve shapes.

We have recently shown that multivariate metamodelling based on PLSR and our nonlinear extension HC-PLSR 8 provides good approximations of the input-output mappings 8 as well as informative insight into complex interaction patterns between parameters 9 of advanced nonlinear dynamic models.

The multivariate metamodelling allowed a wide set of nonlinear curvature descriptions to be handled.

A more comprehensive introduction to the multivariate metamodelling methodology is given in Additional file 1: Section S1.