BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN='8th ECIC & 9th ICSTI 2022':MAILTO:info@ecic-icsti.com
LOCATION:Room „Focke Wulf“
SUMMARY:Artificial intelligence and data driven modelling in ironmaking – potential and limitations
DESCRIPTION:The revival of Artificial Intelligence (AI) promises to offer solutions in particular for complex systems that are difficult to model with classical methods. An overview of AI solutions in ironmaking is provided, their strengths and weaknesses are discussed: Topics as the applicability for typical problem groups, preconditions regarding required data quality and completeness of data sets, reliability, combination with classical approaches are covered. Further the deployment and integration of black box models into control systems and the related stability are discussed.
CLASS:PUBLIC
DTSTART:20220632T105500
DTEND:20220632T112000
END:VEVENT
END:VCALENDAR