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Probabilistic grammar-based equation discovery

Author(s): Jure Brence (Author), Sašo Džeroski (Supervisor), Ljupčo Todorovski (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

In this thesis, we introduce novel methods for equation discovery (ED), based on the use of probabilistic grammars. ED and symbolic regression address the task of finding a symbolic mathematical model that best describes observed data. Models can be as simple as an algebraic equation or as complex as a …

Parameter Identification in Nonlinear Dynamic Systems with Meta-heuristic Approaches

Author(s): Katerina Tashkova (Author), Sašo Džeroski (Supervisor), Jurij Šilc (Co-Supervisor)

Year: 2012

Type: Doctoral dissertation

The task of mathematical modeling of dynamic systems from observed system behavior, widely known under the name of system identification, breaks down into two subtasks. The first task, referred to as structure identification, is to specify the model structure, i.e., the functional form of the model. In practice, the model …