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
Pages:347-349
Proceedings:Proceedings of the 17th Conference STUDENT EEICT 2011
Conference:Student EEICT 2011
Place:Brno, CZ
Year:2011
ISBN:978-80-214-4272-6
Publisher:Faculty of Information Technology BUT
URL:http://www.feec.vutbr.cz/EEICT/2011/sbornik/02-Magisterske%20projekty/11-Inteligentni%20systemy/08-xsikul06.pdf [PDF]
Keywords
symbolic regression, cartesian genetic programming
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=9769}
}

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