Bardadymov. ["Artifical neural networks" method for determining stages of chemical addiction among adolescents]

Abstract:
At this point, in the domestic theory of chemical dependency absent the unity of approaches to description of addiction stages and to identify the boundaries of adolescent dependence maturity. Various approaches are reviewed here to allocation stages of addictive behavior and to describe the use of method for constructing Artificial neural networks. This method was chosen as an instrument of objective automated qualitative evaluation of chemical dependency′s maturity. Author describe the theoretical basis of this approach. He empirically proved the importance and explained the logic of evaluational stages of addictive behavior, described the basic parameters of this evaluation, and consider the characteristics of allocated groups. Thus, he demonstrate the advantages of Artificial neural networks method to the classical methods of assessment. This method makes it possible to objectively judge the practice of professional′s activity in field of adolescent dependence assessment.