Conference paper

DRAHOŠOVÁ Michaela. Symbolic Regression Using Cartesian Genetic Programming. In: Proceedings of the 17th Conference STUDENT EEICT 2011. Brno: Faculty of Information Technology BUT, 2011, pp. 347-349. ISBN 978-80-214-4272-6.
Publication language:czech
Original title:Symbolic Regression Using Cartesian Genetic Programming
Title (en):Symbolic Regression Using Cartesian Genetic Programming
Proceedings:Proceedings of the 17th Conference STUDENT EEICT 2011
Conference:Student EEICT 2011
Place:Brno, CZ
Publisher:Faculty of Information Technology BUT
symbolic regression, cartesian genetic programming
Symbolic regression is the problem of identifying the mathematical description of a hidden system from experimental data. Symbolic regression is closely related to general machine learning. This work deals with symbolic regression and its solution based on the principle of cartesian genetic programming. Cartesian genetic programming is an evolution-based machine learning metod, which automaticaly generates whole programs represented as directed acyclic graph.
   author = {Michaela Draho{\v{s}}ov{\'{a}}},
   title = {Symbolic Regression Using Cartesian Genetic
   pages = {347--349},
   booktitle = {Proceedings of the 17th Conference STUDENT EEICT 2011},
   year = 2011,
   location = {Brno, CZ},
   publisher = {Faculty of Information Technology BUT},
   ISBN = {978-80-214-4272-6},
   language = {czech},
   url = {}

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