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LÝSEK, J. ŠŤASTNÝ, J.
Original Title
GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES
Type
book chapter
Language
English
Original Abstract
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.
Keywords
grammatical evolution, multiclass classification, fitness function, object recognition, learning
Authors
LÝSEK, J.; ŠŤASTNÝ, J.
Released
1. 1. 2019
ISBN
978-3-319-97887-1
Book
Recent Advances in Soft Computing
Pages from
192
Pages to
210
Pages count
19
BibTex
@inbook{BUT151298, author="Jiří {Lýsek} and Jiří {Šťastný}", title="GRAMMATICAL EVOLUTION FOR CLASSIFICATION INTO MULTIPLE CLASSES", booktitle="Recent Advances in Soft Computing", year="2019", pages="192--210", doi="10.1007/978-3-319-97888-8\{_}17", isbn="978-3-319-97887-1" }