Information technology of stock indexes forecasting on the base of fuzzy neural networks

- Trius, Y.V., Antipova, Nataliya, Zhuravel, Kateryna and Zaspa, Grygoriy (2017) Information technology of stock indexes forecasting on the base of fuzzy neural networks Applied Computer Science, 1 (13). pp. 29-44.

Preview

Text Artical_Tryus_ACS_13_2017.pdf - Published Version Download (937kB) | Preview

Abstract

In this research the information technology for stock indexes forecast on the base of fuzzy neural networks was created. The possibility of its use for multi-parameter short-time stock indexes forecasts, in particular S&P500, DJ, NASDAC was checked. The created information technology is used making several consequential steps. The stock indexes forecast numeral experiment based on real data for period of several years with use of the technology offered was made.

Item Type:	Article
Keywords:	information technology, forecasting, stock indices, base of fuzzy neural networks
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 001 Science and knowledge in general. Organization of intellectual work > 001.9 Dissemination of ideas Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Divisions:	Institute for Digitalisation of Education > Department of Network Technologies and Databases
Depositing User:	науковий співробітник Алла Віленівна Кільченко
Date Deposited:	11 Dec 2017 22:05
Last Modified:	11 Dec 2017 22:05
URI:	https://lib.iitta.gov.ua/id/eprint/709256

Downloads

Actions (login required)

View Item