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Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back

EasyChair Preprint no. 1176

16 pagesDate: June 12, 2019


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.

Keyphrases: Anderson’s Iris, cloud-based learning tools, computer simulation, mathematical informatics, neural networks, Spreadsheets

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Serhiy Semerikov and Illia Teplytskyi and Yuliia Yechkalo and Oksana Markova and Vladimir Soloviev and Arnold Kiv},
  title = {Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back},
  howpublished = {EasyChair Preprint no. 1176},

  year = {EasyChair, 2019}}
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