S. D. Kulik – Dr.Sc. (Eng.), Senior Research Scientist, Professor, National Research Nuclear University «MEPHI», Moscow State University of Psychology and Education

E-mail: sedmik@mail.ru

This article deals with the system analysis and neural networks for educational process. The main purpose of the article is to present the necessary elements of system analysis such as principles, indicators, system performance criteria and neural networks. The next purpose of this paper is to show the possibility of applying neural networks and system analysis to the educational process. For this area, the third principle of the theory of systems and systems analysis (maximum efficiency of the system) is specially highlighted. The main focus is on the effectiveness of the system, which can be assessed using special indicators. We used the necessary principles and methods of system analysis, as well as special software for investigating the elements of system analysis for the study of the performance indicator. In this case, special software is considered as a tool for solving problems of system analysis. The students learn the system analysis elements and solve optimization problems.

The results of the neural network model for interpretation of G. Rasch model for dynamic testing of students have been presented. The important feature of the proposed neural network interpretation is that the total function of activation of a neural network and the function of success in G. Rasch model are identical.

This article also deals with the problem of performance indicators. The brief review of the convolution indicators has been presented. The main focus is on the neural network convolution of indicators, which can be assessed using for studying the elements of system analysis and neural networks.

The review of the software for neural network and system analysis has been presented as well. We developed the special software for studying the elements of system analysis and neural networks. We also used the special software for the educational process in National Research Nuclear University «MEPHI».

Finally, main results have been outlined. The results have been protected with patents. It has been concluded that it is necessary to pay more attention in the framework of the educational process to the elements of system analysis and neural networks.

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