About: MIMO Pseudo Neural Networks for Iris Data Classification

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This research deals with a novel approach to classification. This paper deals with a synthesis of a complex structure which serves as a classifier. Compared to previous research, this paper synthesizes multi-input-multi-output (MIMO) classifiers. Classical artificial neural networks (ANN) were an inspiration for this work. The proposed technique creates a relation between inputs and outputs as a whole structure together with numerical values which could be observed as weights in ANN. The Analytic Programming (AP) was utilized as the tool of synthesis by means of the evolutionary symbolic regression. Iris data (a known benchmark for classifiers) was used for testing of the proposed method. For experimentation, Differential Evolution for the main procedure and also for meta-evolution version of analytic programming was used. This research deals with a novel approach to classification. This paper deals with a synthesis of a complex structure which serves as a classifier. Compared to previous research, this paper synthesizes multi-input-multi-output (MIMO) classifiers. Classical artificial neural networks (ANN) were an inspiration for this work. The proposed technique creates a relation between inputs and outputs as a whole structure together with numerical values which could be observed as weights in ANN. The Analytic Programming (AP) was utilized as the tool of synthesis by means of the evolutionary symbolic regression. Iris data (a known benchmark for classifiers) was used for testing of the proposed method. For experimentation, Differential Evolution for the main procedure and also for meta-evolution version of analytic programming was used. (en)
Title	MIMO Pseudo Neural Networks for Iris Data Classification MIMO Pseudo Neural Networks for Iris Data Classification (en)
skos:prefLabel	MIMO Pseudo Neural Networks for Iris Data Classification MIMO Pseudo Neural Networks for Iris Data Classification (en)
skos:notation	RIV/70883521:28140/14:43871640!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Oplatková, Zuzana Šenkeřík, Roman
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	29415
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/14:43871640
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	classification.; symbolic regression; Pseudo neural networks (en)
http://linked.open.../riv/klicoveSlovo	Pseudo neural networks classification. symbolic regression
http://linked.open...ontrolniKodProRIV	[11A888B7DF7D]
http://linked.open...v/mistoKonaniAkce	online
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Advances in Intelligent Systems and Computing. 285
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Šenkeřík, Roman Komínková Oplatková, Zuzana
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-04-28 (xsd:date)
issn	2194-5357
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. Berlin
https://schema.org/isbn	978-3-319-06739-1
http://localhost/t...ganizacniJednotka	28140

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