About: Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	There are discussed various approaches to the evaluation of variables whose values are for any reason impossible to be measured directly. For moisture evaluation of combusted fuel, several formula were previously proposed. In the investigations reported in the paper they have been examined which of them is the most suitable for the moisture inference gained in small-scale biomass fired boilers. In the proposed neural network based on two neurons, the back propagation method has been used for derivation of the adaptation rule. Results of the evaluation are based on real data obtained in the experiments carried on a prototype 100 kW of Fiedler biomass boiler. The boiler has a special instrumentation making possible to check correctness of obtained results not only in the values of moisture but also in the other parameters occurring in the used formula. There are discussed various approaches to the evaluation of variables whose values are for any reason impossible to be measured directly. For moisture evaluation of combusted fuel, several formula were previously proposed. In the investigations reported in the paper they have been examined which of them is the most suitable for the moisture inference gained in small-scale biomass fired boilers. In the proposed neural network based on two neurons, the back propagation method has been used for derivation of the adaptation rule. Results of the evaluation are based on real data obtained in the experiments carried on a prototype 100 kW of Fiedler biomass boiler. The boiler has a special instrumentation making possible to check correctness of obtained results not only in the values of moisture but also in the other parameters occurring in the used formula. (en)
Title	Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables (en)
skos:prefLabel	Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables Neural network inference of biomass fuel moisture during combustion process evaluating of directly unmeasurable variables (en)
skos:notation	RIV/68407700:21220/14:00218595!RIV15-MSM-21220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(TA02020836), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šulc, Bohumil Vrána, Stanislav
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	České vysoké učení technické v Praze / Fakulta strojní
http://linked.open...dnocenehoVysledku	32238
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/14:00218595
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	unmeasured variable; neural network; inferential sensor; discredibility; water ratio; fuel moisture; evaluation; biomass (en)
http://linked.open.../riv/klicoveSlovo	inferential sensor biomass evaluation neural network water ratio discredibility fuel moisture unmeasured variable
http://linked.open...ontrolniKodProRIV	[C8A0E76D787D]
http://linked.open...v/mistoKonaniAkce	Velké Karlovice
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	2014 15th International Carpathian Control Conference (ICCC)
http://linked.open...in/vavai/riv/obor	JB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Research in Intelligent Methods for Economical-Environmental Control of 100 kW Residual Biomass Boiler Prototype
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Vrána, Stanislav Šulc, Bohumil
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2014-05-28 (xsd:date)
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/CarpathianCC.2014.6843689
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-1-4799-3528-4
http://localhost/t...ganizacniJednotka	21220

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