Abstract Our previous work has shown that replacing parts of the classical compartmentalization model reduction approach for distillation columns by offline-trained artificial neural networks (ANNs) improves computational performance. In real-life applications, absence a high-fidelity data generation can, however, prevent deployment this approach. Therefore, we propose method utilizes solely pl...
