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http://ds.knu.edu.ua/jspui/handle/123456789/988
Назва: | Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back |
Автори: | Semerikov, Serhii Семеріков, Сергій Олексійович Семериков, Сергей Алексеевич Teplytskyi, Illia Yechkalo, Yuliia Єчкало, Юлія Володимирівна Ечкало, Юлия Владимировна Markova, Oksana Маркова, Оксана Миколаївна Маркова, Оксана Николаевна Soloviev, Vladimir Kiv, Arnold |
Ключові слова: | Anderson’s Iris cloud-based learning tools computer simulation mathematical informatics neural networks spreadsheets |
Дата публікації: | 2019 |
Бібліографічний опис: | Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back [Electronic resource] / S. Semerikov, I. Teplytskyi, Y. Yechkalo, O. Markova, V. Soloviev, A. Kiv // ICTERI 2019: ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer : proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops. Kherson, Ukraine, June 12–15, 2019. – P. 833–848. – Access mode : http://ceur-ws.org/Vol-2393/paper_348.pdf. |
Короткий огляд (реферат): | The authors of the given article continue the series presented by the 2018 paper “Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot”. This time, they consider mathematical informatics as the basis of higher engineering education fundamentalization. Mathematical informatics deals with smart simulation, information security, long-term data storage and big data management, artificial intelligence systems, etc. The authors suggest studying basic principles of mathematical informatics by applying cloud-oriented means of various levels including those traditionally considered supplementary – spreadsheets. The article considers ways of building neural network models in cloud-oriented 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. |
URI (Уніфікований ідентифікатор ресурсу): | http://ds.knu.edu.ua/jspui/handle/123456789/988 |
ISSN: | 1613-0073 |
Розташовується у зібраннях: | Кафедра комп'ютерних систем та мереж Наукові статті |
Файли цього матеріалу:
Файл | Опис | Розмір | Формат | |
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Computer Simulation of Neural Networks Using.pdf | article | 1.15 MB | Adobe PDF | Переглянути/Відкрити |
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