About: Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper presents the application of ensemble approach in the prediction of ten-sion in a power plant generator. The proposed Adaptive Splitting and Selection (AdaSS) ensemble algorithm performs fusion of several elementary predictors and is based on the assumption that the fusion should take into account the com-petence of the elementary predictors. To take full advantage of complementarity of the predictors, the algorithm evaluates their local specialization, and creates a set of locally specialized predictors. System parameters are adjusted using evolu-tionary algorithms in the course of the learning process, which aims to minimize the mean squared error of prediction. Evaluation of the system is carried on an empirical data set and is compared to other classical ensemble methods. The re-sults show that the proposed approach effectively returns a more consistent and accurate prediction of tension, thereby outperforming classical ensemble approaches The paper presents the application of ensemble approach in the prediction of ten-sion in a power plant generator. The proposed Adaptive Splitting and Selection (AdaSS) ensemble algorithm performs fusion of several elementary predictors and is based on the assumption that the fusion should take into account the com-petence of the elementary predictors. To take full advantage of complementarity of the predictors, the algorithm evaluates their local specialization, and creates a set of locally specialized predictors. System parameters are adjusted using evolu-tionary algorithms in the course of the learning process, which aims to minimize the mean squared error of prediction. Evaluation of the system is carried on an empirical data set and is compared to other classical ensemble methods. The re-sults show that the proposed approach effectively returns a more consistent and accurate prediction of tension, thereby outperforming classical ensemble approaches (en)
Title	Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension (en)
skos:prefLabel	Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension Application of AdaSS Ensemble Approach for Prediction of Power Plant Generator Tension (en)
skos:notation	RIV/61989100:27740/14:86089794!RIV15-MSM-27740___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(EE2.3.30.0016), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Platoš, Jan Jackowski, Konrad Michal
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	Vysoká škola báňská - Technická univerzita Ostrava / IT4Innovations
http://linked.open...dnocenehoVysledku	3703
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/14:86089794
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Power output prediction, ensemble of predictors, evolutionary algorithms. (en)
http://linked.open.../riv/klicoveSlovo	evolutionary algorithms. Power output prediction ensemble of predictors
http://linked.open...ontrolniKodProRIV	[6DE654B92545]
http://linked.open...v/mistoKonaniAkce	Bilbao
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Advances in intelligent systems and computing. Volume 299
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Opportunities for young researchers IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Platoš, Jan Jackowski, Konrad Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-25 (xsd:date)
issn	2194-5357
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-07995-0_21
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-07994-3
http://localhost/t...ganizacniJednotka	27740

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