GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU129796" target="_blank" >RIV/00216305:26210/19:PU129796 - isvavai.cz</a>

Výsledek na webu

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

Jazyk výsledku

angličtina

Název v původním jazyce

GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Recent Advances in Soft Computing

ISBN

978-3-319-97887-1

Počet stran výsledku

19

Strana od-do

192-210

Počet stran knihy

328

Název nakladatele

Neuveden

Místo vydání

Neuveden

Kód UT WoS kapitoly

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