Faculty of Information Technology, BUT

Publication Details

Symbolic Regression Using Cartesian Genetic Programming

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.
English title
Symbolic Regression Using Cartesian Genetic Programming
Type
conference paper
Language
czech
Authors
URL
Keywords
symbolic regression, cartesian genetic programming
Abstract
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.
Published
2011
Pages
347-349
Proceedings
Proceedings of the 17th Conference STUDENT EEICT 2011
Conference
Student EEICT 2011, Brno, CZ
ISBN
978-80-214-4272-6
Publisher
Faculty of Information Technology BUT
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB9769,
   author = "Michaela Draho\v{s}ov\'{a}",
   title = "Symbolic Regression Using Cartesian Genetic Programming",
   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 = "https://www.fit.vut.cz/research/publication/9769"
}
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