About: Recognition of damaged letters based on neural network analysis

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper describes an experimental study based on the application of neural networks for pattern recognition of numbers stamped (imprinted) on ingots. The same task was also solved using fuzzy logic. The ability of all tested neural networks is sufficient to learn all the test patterns, as was demonstrated during experimental works. Unfortunately, amount of training patterns provided by Company KMC Group, s.r.o. were very small and they were very different from test samples. In the article, appropriate types of binarization were discussed so as to extract sufficient information regarding classification via neural networks. There were the optimization of the training set proposed based on the training set analysis. Next, we also proposed way of optimization of parameters belonging to adaptation rules of used neural networks. All experimental results were mutually compared in conclusion. This paper describes an experimental study based on the application of neural networks for pattern recognition of numbers stamped (imprinted) on ingots. The same task was also solved using fuzzy logic. The ability of all tested neural networks is sufficient to learn all the test patterns, as was demonstrated during experimental works. Unfortunately, amount of training patterns provided by Company KMC Group, s.r.o. were very small and they were very different from test samples. In the article, appropriate types of binarization were discussed so as to extract sufficient information regarding classification via neural networks. There were the optimization of the training set proposed based on the training set analysis. Next, we also proposed way of optimization of parameters belonging to adaptation rules of used neural networks. All experimental results were mutually compared in conclusion. (en)
Title	Recognition of damaged letters based on neural network analysis Recognition of damaged letters based on neural network analysis (en)
skos:prefLabel	Recognition of damaged letters based on neural network analysis Recognition of damaged letters based on neural network analysis (en)
skos:notation	RIV/61988987:17310/13:A14017Z6!RIV14-MSM-17310___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Volná, Eva Janošek, Michal KOCIAN, Václav
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	Ostravská univerzita v Ostravě / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	101746
http://linked.open...ai/riv/idVysledku	RIV/61988987:17310/13:A14017Z6
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Artificial neural network; Hebb network; Adaline; backpropagation; pattern recognition; classifiers (en)
http://linked.open.../riv/klicoveSlovo	Adaline Artificial neural network Hebb network classifiers pattern recognition backpropagation
http://linked.open...ontrolniKodProRIV	[1AC0727FB18D]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Mendel 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Janošek, Michal Volná, Eva Kocian, Václav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-26 (xsd:date)
issn	1803-3814
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Brno Univerzity of Technology
https://schema.org/isbn	978-80-214-4755-4
http://localhost/t...ganizacniJednotka	17310

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