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
Keywords:
artificial intelligence, stock exchanges, features, investmentsAbstract
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.Downloads
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
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Section
COMPUTER SCIENCE BASICS
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