APPLICATION OF CLOUD-BASED SPREADSHEETS TO ARTIFICIAL NEURAL NETWORK MODELLING

  • Oksana Markova Kryvyi Rih National University, Ukraine
  • Serhiy Semerikov Kryvyi Rih State Pedagogical University, Ukraine
Keywords: computer simulation, neural networks, cloud-based spreadsheets, Anderson’s Iris

Abstract

The article substantiates the necessity to develop methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment without add-ins and macros. It is shown that to acquire neural simulation competences in the spreadsheet environment, one should master the models based on the historical and genetic approach. The article considers ways of building neural network models in cloud-based spreadsheets, Google Sheets. The model is based on the problem of classifying multidimensional 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.

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Author Biographies

Oksana Markova, Kryvyi Rih National University

PhD, Senior Lecturer

Department of Computer Systems and Networks

Serhiy Semerikov, Kryvyi Rih State Pedagogical University

Doctor of Pedagogical Sciences, Professor

Department of Computer Science and Applied Mathematics

References

Semerikov, S. O., Teplytskyi, I. O., Yechkalo, Yu. V., Kiv, A. E. (2018) Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. CEUR Workshop Proceedings, 2257, 122–147. Available at: http://ceur-ws.org/Vol-2257/paper14.pdf

Semerikov, S. O., Teplytskyi, I. O., Yechkalo, Yu. V., Markova, O. M., Soloviev, V. N., Kiv, A. E. (2019). Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. CEUR Workshop Proceedings, 2393, 833–848. Available at: http://ceur-ws.org/Vol-2393/paper_348.pdf

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Stebbins, G. L. (1978). Edgar Anderson 1897-1969. National Academy of Sciences, Washington.

Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7 (2), 179–188. doi: https://doi.org/10.1111/j.1469-1809.1936.tb02137.x

Anderson, E. (1935). The irises of the Gaspé Peninsula. Bulletin of the American Iris Society, 59, 2–5.

Anderson, E. (1936). The Species Problem in Iris. Annals of the Missouri Botanical Garden, 23 (3), 457. doi: https://doi.org/10.2307/2394164


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Published
2019-11-26
How to Cite
Markova, O., & Semerikov, S. (2019). APPLICATION OF CLOUD-BASED SPREADSHEETS TO ARTIFICIAL NEURAL NETWORK MODELLING. Technology Transfer: Fundamental Principles and Innovative Technical Solutions, 12-15. https://doi.org/10.21303/2585-6847.2019.001039
Section
Computer Sciences