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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
[journal article]
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 descriptio... view more
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.... view less
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