TY - CONF A1 - Talis, Torben T1 - Improving Trust in Dynamic Optimization on Surrogates by Using Classifiers N2 - Dynamic real time optimization of chemical processes requires fast models. So, data-driven surrogate models are often used. However, these models do not contain information on the feasible region of the underlying rigorous model. Therefore, the data-driven regressor is combined with an additional classification model to prevent faulty extrapolations. T2 - BAM Symposium on Artificial Intelligence and Machine Learning CY - Berlin, Germany DA - 06.11.2025 KW - Machine learning KW - Dynamic optimization KW - Classification PY - 2025 AN - OPUS4-65320 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -