24. March 2021

Machine Learning for Vehicle Development

Jana Büttner, Stefan Schwarz, Axel Schumacher and Thomas Bäck published their results on Machine Learning for vehicle development in the ATZ – Automobiltechnische Zeitschrift. In their article “Automated Machine Learning for Supporting Vehicle Design: The Case of a Global Sensitivity Matrix” the authors describe how relations between design variables and different disciplines can be analyzed with machine learning methods to use them for development processes. The article appeared in the 03/2021 issue.

ATZ Worldwide Ausgabe 3/2021