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Simulating social objects with an artificial neural network using a computer cluster

  • This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artificial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.

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Metadaten
Author:Oleg V. Kryuchin, Alexander A. Arzamastsev, Klaus G. Troitzsch, Natalia Zenkova
URN:urn:nbn:de:kola-5620
Series (Volume no.):Arbeitsberichte, FB Informatik (2011,15)
Document Type:Part of Periodical
Language:English
Date of completion:2011/09/29
Date of publication:2011/09/29
Publishing institution:Universität Koblenz-Landau, Campus Koblenz, Universitätsbibliothek
Release Date:2011/09/29
Tag:artificial neural networks; computer clusters; gradient method of training weight coefficients; parallel calculations; social simulation
Number of pages:13 Seiten
Institutes:Fachbereich 4 / Fachbereich 4
Fachbereich 4 / Institut für Wirtschafts- und Verwaltungsinformatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoEs gilt das deutsche Urheberrecht: § 53 UrhG

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