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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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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
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