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The Methodical Complex of Laboratory Works on the Study of Neural Network Technologies

The Methodical Complex of Laboratory Works on the Study of Neural Network Technologies
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Author(s): Artem Borodkin (National Research University “MPEI”, Russia), Vladimir Eliseev (National Research University “MPEI”, Russia), Gennady Filaretov (National Research University “MPEI”, Russia) and Alireza Aghvami Seyed (Payame Noor University, Iran)
Copyright: 2019
Pages: 10
Source title: Handbook of Research on Engineering Education in a Global Context
Source Author(s)/Editor(s): Elena V. Smirnova (Bauman Moscow State Technical University, Russia) and Robin P. Clark (University of Warwick, UK)
DOI: 10.4018/978-1-5225-3395-5.ch030

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Abstract

The chapter considers a task of teaching undergraduate students practical skills using artificial neural networks to solve problems of information processing and control systems. It represents and proves the methods of teaching, based on the gradual increase in the complexity of tasks to be solved by students. The developed complex of laboratory works includes classical problems and methods of their solutions, as well as original methods for solving problems of automatic control. The technology base of the laboratory works are both well-known programs and software package developed by the authors. In addition to the practical experience in the use of software packages, students obtain experience in conducting comparative studies of traditional and neural network methods for solving control problems.

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