ETAS INCA-FLOW (version 4.7) has new test bench methods which link test scripting to data-based modeling and optimization via ETAS ASCMO (Advanced Simulation for Calibration Modeling and Optimization). This enables calibration engineers to improve accuracy and efficiency during the development of optimized powertrain systems
When building data based models of e.g., a combustion engine or a similar technical system, it is essential to think about the range in which the model is able to predict results in good quality. But what is the difference between all the given possibilities and when to use what?
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