Machine Learning for Process Control
Numerous real-world processes need to be kept under control in order to ensure safety or efficiency. Machine learning models are good candidates for this. They can for example detect shifts/anomalies/decalibrations/instabilities/etc. and possibly also predict which action needs to be taken on the process. The real-time nature of such tasks brings unique challenges from a ML perspective compared to classical application of ML. This seminar will explore relevant ML methods such as online/reinforcement learning and real-time data analysis. Use cases in manufacturing and intensive care will be covered. Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.
(19334717)
Type | Seminar/Proseminar |
---|---|
Instructor | Prof. Dr. Grégoire Montavon |
Language | English |
Room | Takustr. 9 049 |
Start | Oct 20, 2023 | 04:00 PM |
end | Feb 16, 2024 | 06:00 PM |
Time | Friday 4-6 p.m. |