FORENSIC TECHNIQUES AND NEURAL NETWORKS

Abstract

The purpose of this article is to determine the place of neural network technologies in the structure of forensic methodology and identify the problems associated with their application. To achieve this goal, the concept of methodology, technological features of neural networks, the main directions of their use in the detection and investigation of crimes, as well as issues of the admissibility of the results are consistently analyzed. Both doctrinal sources and information about the implemented developments serve as an empirical support. The object of consideration is the social relations that develop when using neural network technologies in the detection and investigation of crimes; the subject is the patterns of application of these technologies in the framework of forensic techniques and the methodological and procedural problems caused by them. General scientific methods of analysis and synthesis, comparison and generalization, as well as private scientific methods of criminology are used; when evaluating practice, both domestic and available foreign data are taken into account.