About: Time series prediction using artificial neural networks: Single and multi-dimensional data

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.naun.org/multimedia/NAUN/ijmmas/16-561.pdf
Description	The paper studies time series prediction using artificial neural networks. The special attention is paid to the influence of size of the input vector length. Furthermore, the prediction of standard single-dimensional data signal and the prediction of multi-dimensional data signal are compared. The tested artificial networks are as follows: multilayer feed-forward neural network, recurrent Elman neural network, adaptive linear network and radial basis function neural network. The paper studies time series prediction using artificial neural networks. The special attention is paid to the influence of size of the input vector length. Furthermore, the prediction of standard single-dimensional data signal and the prediction of multi-dimensional data signal are compared. The tested artificial networks are as follows: multilayer feed-forward neural network, recurrent Elman neural network, adaptive linear network and radial basis function neural network. (en)
Title	Time series prediction using artificial neural networks: Single and multi-dimensional data Time series prediction using artificial neural networks: Single and multi-dimensional data (en)
skos:prefLabel	Time series prediction using artificial neural networks: Single and multi-dimensional data Time series prediction using artificial neural networks: Single and multi-dimensional data (en)
skos:notation	RIV/70883521:28110/13:43869746!RIV14-MSM-28110___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Sámek, David
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta technologická
http://linked.open...dnocenehoVysledku	111101
http://linked.open...ai/riv/idVysledku	RIV/70883521:28110/13:43869746
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Artificial neural network, Benchmark, Multi-dimensional data, Prediction, Time series (en)
http://linked.open.../riv/klicoveSlovo	Artificial neural network Benchmark Prediction Time series Multi-dimensional data
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[D6E3D7951106]
http://linked.open...i/riv/nazevZdroje	International Journal of Mathematical Models and Methods in Applied Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	7
http://linked.open...iv/tvurceVysledku	Sámek, David Vařacha, Pavel
issn	1998-0140
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	28110

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