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 [...]
CVSS ClearVu Solution Spaces
One of the big industrial challenges, particularly the automotive industry, is the robust design of structural elements, components or whole systems. For this purpose, methods like the solution space have been developed. ClearVu Solution Spaces is a software package which provides a solution space with many visualization options to facilitate [...]