Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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THE EVALUATION FUNCTION AND NEURAL NETWORK TO SUPPORT DECISION-MAKING AT RECEPTION ENTRY THE UNIVERSITY ONTO THE SENIOR COURSES

Ovchinkin O.V. 1 Pykhtin A.I. 1 Emelyanov S.G. 1
1 Southwest State University
Modern law is contradictory and not enough strictly regulates especially the admissions procedure for the second and subsequent years, including all possible ways to supplement the students after admission to the 1st year. The paper presents a special evaluation function and neural network to rank the applicants during the review process. The evaluation function is different in that for the calculation of its values are not only the results of certification or entrance examinations, but also progress the applicant and his achievements in scientific, artistic, social and sporting activities. To compare the candidates on the “portfolio” has been proposed to use a neural network. Shows the topology of a neural network and the algorithm of its receipt. Education Network resulted from a special sample obtained from the analysis of statistical data and artificially generated examples. To visualize the results of the comparison of applicants created the appropriate software. Produced by comparing the values of the evaluation function and performance of applicants after the transfer, which revealed the presence of a linear relationship between these parameters, confirming the adequacy of the proposed use of tools.