Publication detail

The ICP for Fragment Identification

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

Original Title

The ICP for Fragment Identification

Type

conference paper

Language

English

Original Abstract

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.).

Keywords

metric, exotic metric, function approximation, generating function

Authors

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

RIV year

2012

Released

27. 6. 2012

Publisher

VUT

Location

Brno

ISBN

978-80-214-4540-6

Book

18th International Conference of Soft Computing, MENDEL 2012

Edition

2011

Edition number

1

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2012

Number

1

State

Czech Republic

Pages from

588

Pages to

593

Pages count

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"
}