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Simulating medical objects simulation using an artificial neural network whose structure is based on adaptive resonance theory

  • This paper describes artificial neural networks which are based on the adaptive resonance theory. The usage of these artificial neural networks for classification tasks is presented. The example uses is the classification of patient health from the results of general blood analysis.

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Metadaten
Author:Oleg V. Kryuchin, Alexander A. Arzamastsev, Natalia Zenkova, Klaus G. Troitzsch, Denis V. Sletkov
URN:urn:nbn:de:kola-5618
Series (Volume no.):Arbeitsberichte, FB Informatik (2011,14)
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:adaptive resonance theory; artificial neural networks; blood analysis; classification
Number of pages:12 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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