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Use of artificial neural networks in chemical addiction stages detection of adolescents

Использование метода исусственных нейронных сетей при опредлении стадии химической аддикции подростков
[Zeitschriftenartikel]

Bardadymov, Vasiliy Anatolevich

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://nbn-resolving.de/urn:nbn:de:0168-ssoar-399228

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Abstract Today there is no unified approach to description of the stages of addiction and evolution of adolescent addiction formation. In this paper we consider two main points. At first we describe the different approaches to the selection stages of addictive behavior. The second point is the description of using the method of constructing artificial neural networks to determine the formation of chemical addiction. Also this article describes the theoretical approaches to the evolution stages of dependence and to the construction of artificial neural networks. It is experimentally proved the importance and logic of constructing assessment stage of addictive behavior, described the main parameters of this assessment, and considered the main characteristics of sentence groups. Thus, we demonstrate the number of objective advantages of artificial neural networks to the classical methods. It is create possibility using artificial neural networks in professionals’ practice working with the assessment of adolescent addiction.
Klassifikation soziale Probleme; psychische Störungen, Behandlung und Prävention
Freie Schlagwörter addiction; latent phases of addictive behavior; artificial neural networks
Sprache Dokument Russisch
Publikationsjahr 2012
Seitenangabe 18 S.
Zeitschriftentitel Modern Research of Social Problems (2012) 2
ISSN 2218-7405
Status Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz Digital Peer Publishing Licence - Basismodul
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