Publication Details

Symbolická regrese s užitím kartézského genetického programování

DRAHOŠOVÁ, M. Symbolická regrese s užitím kartézského genetického programování. 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
Symbolic Regression Using Cartesian Genetic Programming
Type
conference paper
Language
Czech
Authors
Drahošová Michaela, Ing., Ph.D. (DCSY)
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
ISBN
978-80-214-4272-6
Publisher
Fakulta informačních technologií VUT v Brně
Place
Brno
BibTeX 
@inproceedings{BUT76459,
  author="Michaela {Drahošová}",
  title="Symbolická regrese s užitím kartézského genetického programování",
  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"
}
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