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Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F13%3AA14017TS%21RIV14-MSM-17310___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The article focuses on system adaptation where there is an ef-fort to find such means of mediating the system's behaviour that would make it possible to adapt to the current state of the system and the environment and react to the changes so that the desired behaviour of the system is kept in specified lim-its or patterns of behaviour. The instruments of regulating the system's behaviour are its parameters. In recognizing the parameters' importance, this work is inspired by the leverage point theory and builds on its approach to the system cognizance. The adaptation of the system's behaviour itself consists of recognizing these characteristic patterns using neural networks and the subsequent mediation of the system's behaviour through selected parameters and their action ranges based on pre-prepared expectations of what will happen if the system's be-haviour exhibits a known characteristic pattern. The article focuses on system adaptation where there is an ef-fort to find such means of mediating the system's behaviour that would make it possible to adapt to the current state of the system and the environment and react to the changes so that the desired behaviour of the system is kept in specified lim-its or patterns of behaviour. The instruments of regulating the system's behaviour are its parameters. In recognizing the parameters' importance, this work is inspired by the leverage point theory and builds on its approach to the system cognizance. The adaptation of the system's behaviour itself consists of recognizing these characteristic patterns using neural networks and the subsequent mediation of the system's behaviour through selected parameters and their action ranges based on pre-prepared expectations of what will happen if the system's be-haviour exhibits a known characteristic pattern.
dcterms:title
Complex System Simulation Parameters Settings Methodology Complex System Simulation Parameters Settings Methodology
skos:prefLabel
Complex System Simulation Parameters Settings Methodology Complex System Simulation Parameters Settings Methodology
skos:notation
RIV/61988987:17310/13:A14017TS!RIV14-MSM-17310___
n16:predkladatel
n20:orjk%3A17310
n3:aktivita
n12:S
n3:aktivity
S
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
n4:3494667 n4:6181996 n4:1055127
n3:druhVysledku
n19:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
66459
n3:idVysledku
RIV/61988987:17310/13:A14017TS
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Elliott waves recognition; prediction; neural network
n3:klicoveSlovo
n5:neural%20network n5:prediction n5:Elliott%20waves%20recognition
n3:kontrolniKodProRIV
[FE58D1D66F67]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
International Publishing Switzerland 2013
n3:nazevZdroje
Nostradamus
n3:obor
n10:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n13:2013
n3:tvurceVysledku
Janošek, Michal Kocian, Václav Volná, Eva
n3:typAkce
n17:WRD
n3:zahajeniAkce
2013-06-03+02:00
s:issn
2194-5357
s:numberOfPages
10
n9:hasPublisher
Springer-Verlag
n21:isbn
978-3-319-00541-6
n15:organizacniJednotka
17310