Export to your Reference Manger

Please Copy & Paste



Bookmark and Share

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

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

Bardadymov, Vasiliy Anatolevich

fulltextDownloadDownload full text

(376 KByte)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-399228

Further Details
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.
Classification Social Problems; Psychological Disorders, Mental Health Treatment and Prevention
Free Keywords addiction; latent phases of addictive behavior; artificial neural networks
Document language Russian
Publication Year 2012
Page/Pages 18 p.
Journal Modern Research of Social Problems (2012) 2
ISSN 2218-7405
Status Published Version; peer reviewed
Licence Basic Digital Peer Publishing Licence