This edition will focus on industrial aspects of Chemicals – development & production, will highlight :
Key Note invited speaker, Sylvie Roussel, will present:
This presentation will show a review of the current Machine Learning tools that can be used to process instrumental data in the industry, from the linear models to the most complex systems such as Artificial Neural Networks (ANN). An extensive comparison of those methods and results will be given on R&D near-infrared (NIR) spectroscopic data.
Every 2 years, this symposium, organized by the Division Industrial and Applid Chemistry of the Swiss Chemical Society –SCS, provides its universitary and industrial members and other interested chemists working in process and product development and production with opportunities for professional development.
The symposium will deal with Process and Automation – Micro-reactor, Continuous Reaction, Modelling, Data Science (Big Data), Manufacturing Digitalization, In-line, real time Production Analysis (PAT: FT-NIR, FT-IR, Raman, including models & algorithms).