Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: 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
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