On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111919" target="_blank" >RIV/00216305:26230/14:PU111919 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-662-44303-3_20" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-662-44303-3_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-662-44303-3_20" target="_blank" >10.1007/978-3-662-44303-3_20</a>
Alternative languages
Result language
angličtina
Original language name
On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems
Original language description
This paper addresses the problem of evolutionary design of classifiers for the recognition of handwritten digit symbols by means of Cartesian Genetic Programming. Two different design scenarios are investigated - the design of multiple-output classifier, and design of multiple binary classifiers. The goal is to evolve classification algorithms that employ substantially smaller amount of operations in contrast with conventional approaches such as Support Vector Machines. Even if the evolved classifiers do not reach the accuracy of the tuned SVM classifier, it will be shown that the accuracy is higher than 93% and the number of required operations is a magnitude lower.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA14-04197S" target="_blank" >GA14-04197S: Advanced Methods for Evolutionary Design of Complex Digital Circuits</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Genetic Programming, 17th European Conference, EuroGP 2014
ISBN
978-3-662-44302-6
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
234-245
Publisher name
Springer Verlag
Place of publication
Berlin
Event location
Granada
Event date
Apr 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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