+ ML Toolkit

Capture and apply your engineering knowledge by training predictive models. Speed up simulation, allow for more design experiments, and take full advantage of Machine Learning in engineering simulation

The ML toolkit add-on powers the BETA software suite and makes the training and use of Machine Learning prediction models possible. This enables the analysis of cases of models’ behaviors in a fraction of the FE analysis time. Combining a FE simulation driven, and a data driven approach, the training of such predictive models is achieved by employing past data, taking advantage of previously acquired knowledge, utilizing the latest python Machine Learning libraries.

To enhance the compatible software of BETA CAE Systems with Machine Learning, requires that the optional "ML toolkit" has been installed, and the respective license feature is enabled, which is available upon request.

ML Toolkit brochure  

Questions & Answers on ML Toolkit  

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Employing Machine Learning for torsional stiffness and angle prediction  

Employing Machine Learning for front crash responses prediction  

Machine Learning for design exploration  

Machine Learning in feature detection  

Machine Learning in feature detection for meshing applications