## What is/are Meta Models?

Meta Models - To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models.^{[1]}Aiming at the difficulties of data integration and consistency maintenance caused by product BOM differences, based on the analysis of product data meta-models and product requirements, the data meta models in the stages of product design, process manufacturing, sales and operation, and maintenance services are Foundation, put forward a unified meta-model that supports the full life cycle of the product, and verify the validity of the model through product examples.

^{[2]}This is accomplished by sampling the space of component performance, here represented by eigenvalues and eigenvectors of stiffness matrices, and establishing meta models that map the relevant component performance values onto feasibility and mass estimates.

^{[3]}Radial basis function (RBF) and the Kriging model are built as the meta models, and the cross validation strategy is applied to calculate the global errors and the local errors of samples.

^{[4]}In the second approach “SATBIM”, a fully automated data exchange workflow is established between a parametric multi-level information model for tunnelling and multi-level numerical models based on both Finite Element and Isogeometric Analysis, where meta models are employed for real-time design assessment.

^{[5]}For this reason, this paper presents an ontology based upon graphs, objects, points, properties, roles, and relationships with entensions (GOPPRRE), providing meta models that support the various lifecycle stages of MBSE formalisms.

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