Detail publikace

The ICP for Fragment Identification

JANČÍK, S. MATOUŠEK, R. DVOŘÁK, J. ABBADI, A.

Originální název

The ICP for Fragment Identification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In technical practice we are very often confronted with need to approximate functions from measured values. Another frequent task is a calculation of measure of central tendency of sample data. For a good reason the method of least squares and the statistics like mean or median are being used. The goal of this paper is to show some nonstandard metrics usable in tasks of creation of approximation model or in tasks of symbolic regression. These metrics, as will be shown, can be created using so-called generating function. It is important to note these metrics can affect robustness of created model concerning extremely deviated values. Using these exotic metrics in tasks of data approximation or symbolic regression we get nonlinear unconstrained optimization task. To solve such task it is necessary to use adequate optimization strategies such as soft-computing methods (evolution algorithms, HC12, differential evolution, etc.) or classical methods of nonlinear optimization (Nelder-Mead, conjugate gradient, Levenberg–Marquardt algorithm, etc.).

Klíčová slova

metric, exotic metric, function approximation, generating function

Autoři

JANČÍK, S.; MATOUŠEK, R.; DVOŘÁK, J.; ABBADI, A.

Rok RIV

2012

Vydáno

27. 6. 2012

Nakladatel

VUT

Místo

Brno

ISBN

978-80-214-4540-6

Kniha

18th International Conference of Soft Computing, MENDEL 2012

Edice

2011

Číslo edice

1

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2012

Číslo

1

Stát

Česká republika

Strany od

588

Strany do

593

Strany počet

6

BibTex

@inproceedings{BUT93299,
  author="Stanislav {Jančík} and Radomil {Matoušek} and Jiří {Dvořák} and Ahmad {Abbadi}",
  title="The ICP for Fragment Identification",
  booktitle="18th International Conference of Soft Computing, MENDEL 2012",
  year="2012",
  series="2011",
  journal="Mendel Journal series",
  volume="2012",
  number="1",
  pages="588--593",
  publisher="VUT",
  address="Brno",
  isbn="978-80-214-4540-6",
  issn="1803-3814"
}