Galileo Ferraris’ Contest

The increasing complexity of design requirements for traction electrical machines has called for the development of advanced analysis and synthesis capabilities. Data-driven and machine learning methodologies have emerged as promising tools for this purpose, but their performance and potential must be thoroughly evaluated. The Galileo Ferraris Contest has been created to provide a platform for testing various machine learning techniques on a set of benchmark cases. The contest Organizers will generate and share datasets through a well-defined procedure in an open environment.

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

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MATLAB and Simulink

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Competition Resources

General Resources

GalFer Contest

Examples

Dataset

Videos

Curve Fitting Onramp

Statistics Onramp

Machine Learning Onramp

Machine Learning with MATLAB

Deep Learning Onramp

Deep Learning with MATLAB

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