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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Vladimir Muratov
Program for the Structural Subprocess Extraction using Neural Nets
Software Engineering
(Bachelor’s programme)
2018
The work is devoted to the structural subprocess extraction using neural nets.

In this paper, approaches for analyzing the structural subprocess extraction are considered. Various methods of the structural subprocess extraction are presented. In addition, software has been developed to conduct and test results on the effectiveness of the algorithms and methods described in this paper.

The purpose of this work is to develop an application for the structural subprocess extraction with the use of neural networks, to study the efficiency of neural networks in this field. The functional purpose of the program is to analyze the structure of process models, search in the graph of subprocesses that coincide with the desired subprocess. If we move from the concepts of graph theory to everyday terminology, then the functional value of the program is to find all the subprocesses in the process that coincide with the given desired subprocess.

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