This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n13http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n7http://linked.opendata.cz/ontology/domain/vavai/
n14http://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/
n15http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F62156489%3A_____%2F02%3A11800009%21RIV%2F2003%2FMSM%2F430003%2FN/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n17http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F62156489%3A_____%2F02%3A11800009%21RIV%2F2003%2FMSM%2F430003%2FN
rdf:type
n7:Vysledek skos:Concept
dcterms:description
In this paper, a neural network based foreign exchange rates forecasting method is discussed. The data set used in this study contains 15-minute prices of US dollar against other major currencies. We tested feed-forward neural networks with back-propagation algorithm. The study shows, that it is possible to forecast short-term future FX movements without the use of extensive market data. In this paper, a neural network based foreign exchange rates forecasting method is discussed. The data set used in this study contains 15-minute prices of US dollar against other major currencies. We tested feed-forward neural networks with back-propagation algorithm. The study shows, that it is possible to forecast short-term future FX movements without the use of extensive market data.
dcterms:title
Foreign exchange rates forecasting based on high-frequency data using neural networks Foreign exchange rates forecasting based on high-frequency data using neural networks
skos:prefLabel
Foreign exchange rates forecasting based on high-frequency data using neural networks Foreign exchange rates forecasting based on high-frequency data using neural networks
skos:notation
RIV/62156489:_____/02:11800009!RIV/2003/MSM/430003/N
n4:strany
175;183
n4:aktivita
n17:Z
n4:aktivity
Z(MSM 431100007)
n4:cisloPeriodika
6
n4:dodaniDat
n9:2003
n4:domaciTvurceVysledku
n13:9513205 n13:8340951
n4:druhVysledku
n6:J
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
646408
n4:idVysledku
RIV/62156489:_____/02:11800009
n4:jazykVysledku
n10:eng
n4:klicovaSlova
neural networks;foreign exchange;forecasting;high-frequency;FX;back-propagation;time series
n4:klicoveSlovo
n5:forecasting n5:time%20series n5:back-propagation n5:high-frequency n5:neural%20networks n5:foreign%20exchange n5:FX
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[C7C50D14E1F6]
n4:nazevZdroje
ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS
n4:obor
n11:AH
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:pocetUcastnikuAkce
0
n4:pocetZahranicnichUcastnikuAkce
0
n4:rokUplatneniVysledku
n9:2002
n4:svazekPeriodika
Neuveden
n4:tvurceVysledku
Dvořáková, Miroslava Mastný, Václav
n4:zamer
n14:MSM%20431100007
s:issn
1211-8516
s:numberOfPages
9