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 [...]
Automatic Metamodeling of CAE-Simulation Models
Meta models help to save time during CAE simulations for design optimization. CAE simulation models are commonly used in the automotive industry. However, such simulations might run for several days. Within an FAT research project divis has demonstrated how reliable meta models for CAE simulation models can be derived from [...]