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

EasyChair Preprint 1176

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.

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

@booklet{EasyChair:1176,
  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 1176},
  year      = {EasyChair, 2019}}