PEMF: Matlab package (v2016.01)
Predictive Estimation of Model Fidelity (PEMF) is a model-independent approach to measure the fidelity of surrogate models or metamodels, such as Kriging, Radial Basis Functions (RBF), Support Vector Regression (SVR), and Neural Networks.
This PEMF package can also be downloaded from MATLAB file exchange.
Cite PEMF as:
A. Mehmani, S. Chowdhury, and A. Messac, “Predictive quantification of surrogate model fidelity based on modal variations with sample density,” Structural and Multidisciplinary Optimization, vol. 52, pp. 353-373, 2015.
This is the first release of PEMF; so, any feedback or information on any bugs (that we might have missed) is very welcome.
Soar Facility (Digital twin) – V: 1.0
The digital twin for Soar Facility campus developed in Unreal Engine 4.26 with real-world dimensions.
Xbox version can be downloaded here
Link to Hardware-in-the-loop will be uploaded soon.