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dc.contributor.authorSemerikov, Serhii-
dc.contributor.authorTeplytskyi, Illia-
dc.contributor.authorYechkalo, Yuliia-
dc.contributor.authorЄчкало, Юлія Володимирівна-
dc.contributor.authorЕчкало, Юлия Владимировна-
dc.contributor.authorMarkova, Oksana-
dc.contributor.authorМаркова, Оксана Миколаївна-
dc.contributor.authorМаркова, Оксана Николаевна-
dc.contributor.authorSoloviev, Vladimir-
dc.contributor.authorKiv, Arnold-
dc.contributor.authorСемеріков, Сергій Олексійович-
dc.contributor.authorСемериков, Сергей Алексеевич-
dc.date.accessioned2020-04-13T12:19:45Z-
dc.date.available2020-04-13T12:19:45Z-
dc.date.issued2020-
dc.identifier.citationUsing spreadsheets as learning tools for computer simulation of neural networks [Electronic resource] / Serhiy Semerikov, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, Arnold Kiv // The International Conference on History, Theory and Methodology of Learning (ICHTML 2020). Kryvyi Rih, Ukraine, May 13-15, 2020 / eds. : V. Hamaniuk, S. Semerikov, Y. Shramko // SHS Web of Conferences. – 2020. – Vol.75, 04018. – Access mode : https://www.shs-conferences.org/articles/shsconf/abs/2020/03/shsconf_ichtml_2020_04018/shsconf_ichtml_2020_04018.html. – DOI : 10.1051/shsconf/20207504018uk_UA
dc.identifier.issn2261-2424-
dc.identifier.urihttps://doi.org/10.1051/shsconf/20207504018-
dc.identifier.urihttp://ds.knu.edu.ua/jspui/handle/123456789/2137-
dc.description.abstractThe article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment with-out add-ins and macros. The article considers ways of building neural network models in cloud-based spreadsheets, Google Sheets. The model is based on the problem of classifying multi-dimensional data provided in “The Use of Multiple Measurements in Taxonomic Problems” by R. A. Fisher. Edgar Anderson’s role in collecting and preparing the data in the 1920s-1930s is discussed as well as some peculiarities of data selection. There are presented data on the method of multi-dimensional data presentation in the form of an ideograph developed by Anderson and considered one of the first efficient ways of data visualization.uk_UA
dc.language.isoenuk_UA
dc.publisherEDP Sciencesuk_UA
dc.relation.ispartofseriesSHS Web of Conferences;75-
dc.subjectcomputer simulationuk_UA
dc.subjectneural networksuk_UA
dc.subjectspreadsheetsuk_UA
dc.subjectneural computinguk_UA
dc.subjectearly network modelsuk_UA
dc.subjectAnderson’s Irisuk_UA
dc.subjectcloud-based learning toolsuk_UA
dc.titleUsing spreadsheets as learning tools for computer simulation of neural networksuk_UA
dc.typeArticleuk_UA
local.submitter.emailsemerikov@ccjourn...uk_UA
Розташовується у зібраннях:Кафедра комп'ютерних систем та мереж
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