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.