Artificial Neural Network Supporting the Decision Process of Investing in Stocks Listed on the Stock Exchanges Based on Hypothetical Set of Data from the Perspective of Quarterly Terms

Authors

  • Marcin HALICKI Uniwersytet Rzeszowski, Polska
  • Tadeusz KWATER Uniwersytet Rzeszowski, Polska

Keywords:

artificial intelligence, stock exchanges, features, investments

Abstract

The publication presents artificial neural networks as a expert tool which supports making decision for the quarterly period of investment in shares listed on a hypothetical stock exchange. Also it is proposed a set of 12 features of a economy and some stock exchange, which have a universal character because the presented configured network with this set of data can be useful in any chosen stock exchange.

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Published

2015-09-30

How to Cite

HALICKI, M., & KWATER, T. (2015). Artificial Neural Network Supporting the Decision Process of Investing in Stocks Listed on the Stock Exchanges Based on Hypothetical Set of Data from the Perspective of Quarterly Terms. Journal of Education, Technology and Computer Science, 13(3), 219–224. Retrieved from https://journals.ur.edu.pl/jetacomps/article/view/6459

Issue

Vol. 13 No. 3 (2015): Edukacja – Technika – Informatyka

Section

COMPUTER SCIENCE BASICS

License

Copyright (c) 2015 Journal of Education, Technology and Computer Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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