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Overview
The use of surrogate models in recent years has proven to quickly obtain predictive response values.
JMAG can create these surrogate models. Users can call the surrogate models created in JMAG using scripts.
This document describes the procedures to create a surrogate model using results from an analysis with multiple cases to review response value maps by calling that surrogate model using a script.
Keywords
surrogate model, AI, machine learning, response value, optimization, parametric, python, script
