Mouellef, M.; Szabo, G.; Vetter, F.L.; Siemers, C.; Strube, J.
Artificial Neural Network for Fast and Versatile Model Parameter Adjustment Utilizing PAT Signals of Chromatography Processes for Process Control under Production Conditions. Processes 2022, 10, 709.
https://doi.org/10.3390/pr10040709
AMA Style
Mouellef M, Szabo G, Vetter FL, Siemers C, Strube J.
Artificial Neural Network for Fast and Versatile Model Parameter Adjustment Utilizing PAT Signals of Chromatography Processes for Process Control under Production Conditions. Processes. 2022; 10(4):709.
https://doi.org/10.3390/pr10040709
Chicago/Turabian Style
Mouellef, Mourad, Glaenn Szabo, Florian Lukas Vetter, Christian Siemers, and Jochen Strube.
2022. "Artificial Neural Network for Fast and Versatile Model Parameter Adjustment Utilizing PAT Signals of Chromatography Processes for Process Control under Production Conditions" Processes 10, no. 4: 709.
https://doi.org/10.3390/pr10040709
APA Style
Mouellef, M., Szabo, G., Vetter, F. L., Siemers, C., & Strube, J.
(2022). Artificial Neural Network for Fast and Versatile Model Parameter Adjustment Utilizing PAT Signals of Chromatography Processes for Process Control under Production Conditions. Processes, 10(4), 709.
https://doi.org/10.3390/pr10040709