About: Comparison of Neural Network and Grammatical Evolution for Time Series Prediction

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this contribution we present a comparison of a neural network with an agent created by grammatical evolution for time series prediction problem. We use the back-propagation algorithm to train the neural network for predicting future value of a time series. To evolve prediction agents we use grammatical evolution with backwards processing and equalization operator. Finally the results of both methods are compared by their ability to predict time series values, by time needed to create prediction model and setup difficulty. In this contribution we present a comparison of a neural network with an agent created by grammatical evolution for time series prediction problem. We use the back-propagation algorithm to train the neural network for predicting future value of a time series. To evolve prediction agents we use grammatical evolution with backwards processing and equalization operator. Finally the results of both methods are compared by their ability to predict time series values, by time needed to create prediction model and setup difficulty. (en)
Title	Comparison of Neural Network and Grammatical Evolution for Time Series Prediction Comparison of Neural Network and Grammatical Evolution for Time Series Prediction (en)
skos:prefLabel	Comparison of Neural Network and Grammatical Evolution for Time Series Prediction Comparison of Neural Network and Grammatical Evolution for Time Series Prediction (en)
skos:notation	RIV/00216305:26210/13:PU104589!RIV14-MSM-26210___
http://linked.open...avai/predkladatel	Fakulta strojního inženýrství
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6215648904)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Lýsek, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta strojního inženýrství
http://linked.open...dnocenehoVysledku	66263
http://linked.open...ai/riv/idVysledku	RIV/00216305:26210/13:PU104589
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	neural network, grammatical evolution, learning, prediction (en)
http://linked.open.../riv/klicoveSlovo	learning neural network prediction grammatical evolution
http://linked.open...ontrolniKodProRIV	[4EF023D77ED8]
http://linked.open...v/mistoKonaniAkce	Brno University of Technology
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Mendel 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Motyčka, Arnošt Šťastný, Jiří Lýsek, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-26 (xsd:date)
http://linked.open...n/vavai/riv/zamer	The Czech Economy in the Process of Integration and Globalisation, and the Development of Agricultural Sector and the Sector of Services under the New Conditions of the Integrated European Market
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-214-4755-4
http://localhost/t...ganizacniJednotka	26210

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