Artificial neural networks for quantitative online NMR spectroscopy.

ABSTRACT: Industry 4.0 is all about interconnectivity, sensor-enhanced process control, and data-driven systems. Process analytical technology (PAT) such as online nuclear magnetic resonance (NMR) spectroscopy is gaining in importance, as it increasingly contributes to automation and digitalization in production. In many cases up to now, however, a classical evaluation of process data and their transformation into knowledge is not possible or not economical due to the insufficiently large datasets available. When developing an automated method applicable in process control, sometimes only the basic data of a limited number of batch tests from typical product and process development campaigns are available. However, these datasets are not large enough for training machine-supported procedures. In thi

SUBMITTER: Kern S 

PROVIDER: S-EPMC7320049 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature