This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n13http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n12http://purl.org/net/nknouf/ns/bibtex#
n3http://localhost/temp/predkladatel/
n15http://linked.opendata.cz/resource/domain/vavai/projekt/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n18http://linked.opendata.cz/ontology/domain/vavai/
n21https://schema.org/
n5http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n10http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26220%2F09%3APU84970%21RIV11-MSM-26220___/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n22http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n14http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU84970%21RIV11-MSM-26220___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Evolutionary algorithms represent a group of stochastic calculation methods that are inspired by actions in live nature. These methods are suitable to apply to problems that can be solved only with difficulty by the classical deterministic mathematical methods, or where the application of exact calculation methods demands unreasonable task simplification. Non-linear regression and prediction also belong among these tasks. Although mathematical statistics gives a lot of methods for the solution of linear regression tasks, very often it is not possible to use these methods. A majority of real tasks have a non-linear status and that is why linear regression methods can be used only for short intervals of the definition domain or only under very limited conditions. That is why it can be convenient to use evolution methods for the solution of non-linear regression tasks, e.g. genetic algorithms. Evolutionary algorithms represent a group of stochastic calculation methods that are inspired by actions in live nature. These methods are suitable to apply to problems that can be solved only with difficulty by the classical deterministic mathematical methods, or where the application of exact calculation methods demands unreasonable task simplification. Non-linear regression and prediction also belong among these tasks. Although mathematical statistics gives a lot of methods for the solution of linear regression tasks, very often it is not possible to use these methods. A majority of real tasks have a non-linear status and that is why linear regression methods can be used only for short intervals of the definition domain or only under very limited conditions. That is why it can be convenient to use evolution methods for the solution of non-linear regression tasks, e.g. genetic algorithms.
dcterms:title
Evolutionary Algorithms for Managing New Network Elements Evolutionary Algorithms for Managing New Network Elements
skos:prefLabel
Evolutionary Algorithms for Managing New Network Elements Evolutionary Algorithms for Managing New Network Elements
skos:notation
RIV/00216305:26220/09:PU84970!RIV11-MSM-26220___
n4:aktivita
n7:Z n7:P
n4:aktivity
P(GA102/07/1503), Z(MSM0021630513), Z(MSM0021630529)
n4:dodaniDat
n14:2011
n4:domaciTvurceVysledku
n9:1250019 n9:4746392
n4:druhVysledku
n20:D
n4:duvernostUdaju
n11:S
n4:entitaPredkladatele
n10:predkladatel
n4:idSjednocenehoVysledku
313991
n4:idVysledku
RIV/00216305:26220/09:PU84970
n4:jazykVysledku
n22:eng
n4:klicovaSlova
Differential Evolution, Evolutionary Algorithm, Grammatical Evolution, Network Element, Two-level Grammatical Evolution.
n4:klicoveSlovo
n19:Two-level%20Grammatical%20Evolution. n19:Grammatical%20Evolution n19:Network%20Element n19:Evolutionary%20Algorithm n19:Differential%20Evolution
n4:kontrolniKodProRIV
[1B8E695FDEAE]
n4:mistoKonaniAkce
Srby
n4:mistoVydani
Praha
n4:nazevZdroje
Conference Proceedings for 11th International Conference RTT 2009, Research in Telecommunication Technology
n4:obor
n17:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n15:GA102%2F07%2F1503
n4:rokUplatneniVysledku
n14:2009
n4:tvurceVysledku
Šťastný, Jiří Škorpil, Vladislav
n4:typAkce
n13:EUR
n4:zahajeniAkce
2009-09-02+02:00
n4:zamer
n5:MSM0021630529 n5:MSM0021630513
s:numberOfPages
4
n12:hasPublisher
České vysoké učení technické v Praze
n21:isbn
978-80-01-04410-0
n3:organizacniJednotka
26220