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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
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UID:MEC-235ff8e4d888ca64703dd6d2e920a90b@cmc.deusto.eus
DTSTART:20220117T100000Z
DTEND:20220117T110000Z
DTSTAMP:20251031T223500Z
RDATE;VALUE=PERIOD:20220120T100000Z/20220120T110000Z,20220131T100000Z/20220131T110000Z,20220217T100000Z/20220217T110000Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Seminar Series: Deep Learning in Control
DESCRIPTION:Event: Seminar Series: Deep Learning in Control\nSpeaker: Prof. Dr. Jan Heiland\nAffiliation: MPI for Dynamics of Complex Technical Systems | OvG University Magdeburg\nOrganized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany)\nWHERE?\nJoin this seminar series at: Virtual meeting link (all sessions)\nDuring January and February 2022, our colleague Jan Heiland from MPI for Dynamics of Complex Technical Systems and OvG University Magdeburg, will give the Seminar Series “Deep Learning in Control”, with the following sessions:\nS01: “Neural Nets as Systems Models and Controllers”\nMon. January 17, 2022 • 11:00H\nA fundamental discussion on how neural networks can be used in systems and control with basic proofs of approximation.\nE.D. Sontag, 1992\nS02: “Complete controllability of continuous-time recurrent neural networks”\nThu. January 20, 2022 • 11:00H\nControllability for the class of control systems commonly called (continuous-time) recurrent neural networks.\nE.D. Sontag, H.J. Sussmann, 1997\nS03: “Other and recent developments in the use of neural networks in systems and control”\nMon. January 31, 2022 • 11:00H\nThe results from the literature review\nS04: TBA\nThu. February 17, 2022 • 11:00H\nThis event on LinkedIn\n
URL:https://cmc.deusto.eus/events-calendar/seminar-series-deep-learning-in-control-2/
ORGANIZER;CN=FAU DCN-AvH:MAILTO:
CATEGORIES:Seminar/Talk,Workshop
LOCATION:Worldwide
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