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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F04%3A03099853%21RIV%2F2005%2FGA0%2F212305%2FN
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Není k dispozici This paper presents an application of soft computing techniques to the construction of decision support tool used for identifying the economically unstable licensed subjects. The work has been initiated by the Czech Energy Regulatory Office whose main mission is to guard the regular heat supply without significant disturbances. Thus the main goal is to develop a tool for automatic identification of the companies that could cancel the supply due to economic problems without detailed examination of each company. In order to achieve the goal two approaches have been chosen. The first one is based on development of an aggregate evaluation criterion for assessing the firms. The other one uses artificial neural networks and multivariate decision trees induced with genetic programming for classification of the firms. This paper presents an application of soft computing techniques to the construction of decision support tool used for identifying the economically unstable licensed subjects. The work has been initiated by the Czech Energy Regulatory Office whose main mission is to guard the regular heat supply without significant disturbances. Thus the main goal is to develop a tool for automatic identification of the companies that could cancel the supply due to economic problems without detailed examination of each company. In order to achieve the goal two approaches have been chosen. The first one is based on development of an aggregate evaluation criterion for assessing the firms. The other one uses artificial neural networks and multivariate decision trees induced with genetic programming for classification of the firms.
dcterms:title
Není k dispozici Application Of Soft Computing Techniques to Classification Of Licensed Subjects Application Of Soft Computing Techniques to Classification Of Licensed Subjects
skos:prefLabel
Application Of Soft Computing Techniques to Classification Of Licensed Subjects Application Of Soft Computing Techniques to Classification Of Licensed Subjects Není k dispozici
skos:notation
RIV/68407700:21230/04:03099853!RIV/2005/GA0/212305/N
n4:strany
481 ; 488
n4:aktivita
n20:P
n4:aktivity
P(GA102/02/0132)
n4:dodaniDat
n8:2005
n4:domaciTvurceVysledku
n11:1775022 n11:5902584 n11:3657833 n11:9673199 n11:9431446
n4:druhVysledku
n18:D
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
555178
n4:idVysledku
RIV/68407700:21230/04:03099853
n4:jazykVysledku
n15:eng
n4:klicovaSlova
classification; decision trees; evolutionary algorithms; neural networks
n4:klicoveSlovo
n6:evolutionary%20algorithms n6:neural%20networks n6:decision%20trees n6:classification
n4:kontrolniKodProRIV
[DD1990C54943]
n4:mistoKonaniAkce
Vídeň
n4:mistoVydani
New York
n4:nazevZdroje
Emerging Solutions for Future Manufacturing Systems
n4:obor
n10:JC
n4:pocetDomacichTvurcuVysledku
5
n4:pocetTvurcuVysledku
5
n4:projekt
n16:GA102%2F02%2F0132
n4:rokUplatneniVysledku
n8:2004
n4:tvurceVysledku
Lhotská, Lenka Kubalík, Jiří Suchý, Jan Jiřina, Marcel Starý, Oldřich
n4:typAkce
n13:WRD
n4:zahajeniAkce
2004-09-27+02:00
s:numberOfPages
8
n9:hasPublisher
Springer-Verlag
n12:isbn
0-387-22828-4
n21:organizacniJednotka
21230