AI-generated results are produced quickly. But where does cleverly selected training data come from to obtain credible results? In this series, Daniel and Kevin show how you can automatically generate samples via simulation calculations in Ansys, and how to select them in a clever way to maximize the predictive quality of your AI model. The Ansys Workbench projects are automated with Python, APDL, or pyDPF. The training-data outputs shown range from individual parameters and curves to complete fields, such as the stress field of a reshaped snap spring.
This series is a must for AI enthusiasts. Please note that the lecture language is German.
