Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/988
Title: Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back
Authors: 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
Keywords: Anderson’s Iris
cloud-based learning tools
computer simulation
mathematical informatics
neural networks
spreadsheets
Issue Date: 2019
Citation: 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.
Abstract: 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: http://ds.knu.edu.ua/jspui/handle/123456789/988
ISSN: 1613-0073
Appears in Collections:Кафедра комп'ютерних систем та мереж
Наукові статті

Files in This Item:
File Description SizeFormat 
Computer Simulation of Neural Networks Using.pdfarticle1.15 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.