Abstract
The development of solutions for identifying the source code author is relevant for the field of intellectual property and copyright protection. Such solutions are important for the analysis of the industrial software product source codes, which are developed on the basis of a large number of professional studies. This paper presents the architecture of the intelligent system for identifying the source code author based on a deep hybrid neural network. The paper also describes the main structural elements of the system being developed and their interfaces, as well as the mechanisms necessary for its correct and high performance.
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