Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/25247
Title: Designing Computer Simulators in Support of a Propaedeutic Course on Neural Network Technologies
Authors: Ionisyan, A. S.
Ионисян, А. С.
Zhuravleva, I.
Журавлева, И.
Lavrinenko, I. N.
Лавриненко, И. Н.
Shaposhnikov, A. V.
Шапошников, А. В.
Liutova, V. V.
Лютова, В. В.
Keywords: Computer control systems;Neural networks;Professional education;Neurocomputers;Application programs
Issue Date: 2023
Citation: Ionisyan, A., Zhuravleva, I., Lavrinenko, I., Shaposhnikov, A., Liutova, V. Designing Computer Simulators in Support of a Propaedeutic Course on Neural Network Technologies // Lecture Notes in Networks and Systems. - 2023. - 702 LNNS, pp. 509-519. - DOI: 10.1007/978-3-031-34127-4_49
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: The article is devoted to the development of computer simulators of artificial neural networks for conducting practical classes and organizing control in the “Neurocomputer technologies” subject for schoolchildren of 8-11th grades, who are studying in the system of additional education. The development and application technology of software modules is described for propaedeutics of mastering the mathematical apparatus, which is necessary for further study of the theory of artificial neural networks in the relevant courses of higher professional education. The program provides an opportunity to study at the level of medium or increased complexity for highly motivated students to study natural science disciplines. In this case, special attention will be paid to the practice of working with mathematical models of artificial neural networks and their implementation on a computer. Further professional education of “highly motivated” gifted children is highly likely to be associated with scientific research, which, regardless of the field of human knowledge, is currently based on the use of artificial neural network, neuromathematics and neuropackages. Since the main tasks solved with the help of neuro-mathematics are related to the search for hidden patterns, classification, forecasting, dimension reduction, the scope of their application covers all scientific areas.
URI: http://hdl.handle.net/20.500.12258/25247
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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