Publication Details

Symbolic Regression Using Cartesian Genetic Programming

DRAHOŠOVÁ, M. Symbolic Regression Using Cartesian Genetic Programming. Proceedings of the 17th Conference STUDENT EEICT 2011. Brno: Fakulta informačních technologií VUT v Brně, 2011. s. 347-349. ISBN: 978-80-214-4272-6.

English title

Type

conference paper

Language

Czech

Authors

Drahošová Michaela, Ing., Ph.D. (DCSY)

URL

http://www.feec.vutbr.cz/EEICT/2011/sbornik/02-Magisterske%20projekty/11-Inteligentni%20systemy/08-xsikul06.pdf

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

Conference Student EEICT 2011, Brno, CZ

ISBN

978-80-214-4272-6

Publisher

Fakulta informačních technologií VUT v Brně

Place

Brno

BibTeX

@inproceedings{BUT76459,
  author="Michaela {Drahošová}",
  title="Symbolic Regression Using Cartesian Genetic Programming",
  booktitle="Proceedings of the 17th Conference STUDENT EEICT 2011",
  year="2011",
  pages="347--349",
  publisher="Fakulta informačních technologií VUT v Brně",
  address="Brno",
  isbn="978-80-214-4272-6",
  url="http://www.feec.vutbr.cz/EEICT/2011/sbornik/02-Magisterske%20projekty/11-Inteligentni%20systemy/08-xsikul06.pdf"
}