This HTML5 document contains 57 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n19http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n20http://purl.org/net/nknouf/ns/bibtex#
n12http://localhost/temp/predkladatel/
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n15http://linked.opendata.cz/ontology/domain/vavai/
n11https://schema.org/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n18http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61989100%3A27740%2F13%3A86085035%21RIV15-MSM-27740___/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86085035%21RIV15-MSM-27740___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
This multidisciplinary study presents the application of two well known soft computing methods - flexible neural trees, and evolutionary fuzzy rules - for the prediction of the error parameter between real dental milling time and forecast given by the dental milling machine. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the time error. This multidisciplinary study presents the application of two well known soft computing methods - flexible neural trees, and evolutionary fuzzy rules - for the prediction of the error parameter between real dental milling time and forecast given by the dental milling machine. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the time error.
dcterms:title
Evaluation of novel soft computing methods for the prediction of the dental milling time-error parameter Evaluation of novel soft computing methods for the prediction of the dental milling time-error parameter
skos:prefLabel
Evaluation of novel soft computing methods for the prediction of the dental milling time-error parameter Evaluation of novel soft computing methods for the prediction of the dental milling time-error parameter
skos:notation
RIV/61989100:27740/13:86085035!RIV15-MSM-27740___
n4:aktivita
n13:V
n4:aktivity
V
n4:dodaniDat
n9:2015
n4:domaciTvurceVysledku
n7:4347269 Corchado, Emilio n7:9175970
n4:druhVysledku
n8:D
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
73637
n4:idVysledku
RIV/61989100:27740/13:86085035
n4:jazykVysledku
n21:eng
n4:klicovaSlova
soft computing; prediction; industrial applications; fuzzy rules; flexible neural trees; evolutionary algorithms; dental milling
n4:klicoveSlovo
n10:prediction n10:dental%20milling n10:evolutionary%20algorithms n10:fuzzy%20rules n10:industrial%20applications n10:flexible%20neural%20trees n10:soft%20computing
n4:kontrolniKodProRIV
[8DC6E8B8ACDD]
n4:mistoKonaniAkce
Ostrava
n4:mistoVydani
Berlin
n4:nazevZdroje
Advances in Intelligent Systems and Computing
n4:obor
n6:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
11
n4:rokUplatneniVysledku
n9:2013
n4:tvurceVysledku
Novosád, Tomáš Sedano, Javier Snášel, Václav Garcia-Hernandez, Laura Quintian, Hector Krömer, Pavel Hernando, Beatriz Vera, Vicente Corchado, Emilio Redondo, Raquel Garcia, Alvaro
n4:typAkce
n19:WRD
n4:wos
000312974600017
n4:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
10
n18:doi
10.1007/978-3-642-32922-7_17
n20:hasPublisher
Springer-Verlag
n11:isbn
978-3-642-32921-0
n12:organizacniJednotka
27740