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Grammatical Evolution for Classification into Multiple Classes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43913863" target="_blank" >RIV/62156489:43110/19:43913863 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-319-97888-8_17" target="_blank" >https://doi.org/10.1007/978-3-319-97888-8_17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-97888-8_17" target="_blank" >10.1007/978-3-319-97888-8_17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Grammatical Evolution for Classification into Multiple Classes

  • Original language description

    In this contribution the authors deal with classification problems using an approach based on grammatical evolution. The named method is used to create short executable structures which are evolved to classify given input into multiple classes. Resulting structures are usable as computer programs for embedded devices with low computational resources. An universal formula for fitness value calculation of the evolved individual is introduced and an example of planar graphical objects classification in generated image dataset is presented. The presented approach is still applicable for general multi-class classification problems. The results of the proposed method are discussed and examined.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MENDEL 2017: Recent Advances in Soft Computing

  • ISBN

    978-3-319-97887-1

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    16

  • Pages from-to

    192-207

  • Publisher name

    Springer Switzerland

  • Place of publication

    Cham

  • Event location

    Brno

  • Event date

    Jun 20, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article