CORDIS Project
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This research aims to create new numerical analysis methods for dynamic systems by integrating machine learning techniques. The focus is on developing algorithms that can analyze and predict behaviors in various applications, particularly in the commercial and energy sectors.
The proposed research aims to establish groundbreaking new methods for the numerical analysis of dynamical systems by using tools from the field of machine learning.
The intersection of the fields of machine learning and computational dynamics is largely unexplored, and this proposal aims at the first systematic development of a unified theory, with a view to applying the ideas to problems in the commercial and energy sectors.
Recent results by the applicant in set approximation for control syst…
POTSDAM-INSTITUT FUR KLIMAFOLGENFORSCHUNG EV
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