Digital Library NAES of Ukraine

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

- Trius, Y.V., Zhuravel, Kateryna, Antipova, Nataliya and Zaspa, Grygoriy (2017) Information technology of stock indexes forecasting on the base of fuzzy neural networks In: Теорія і практика використання інформаційних технологій в навчальному процесі: матеріали Всеукраїнської науково-практичної конференції . НПУ імені М.П. Драгоманова, м. Київ, Україна, pp. 128-130.

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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: Book Section
Keywords: information technology, teaching, fuzzy set theory, fuzzy logic, students of computer specialties
Subjects: 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 > 004.01/.08 Special auxiliary numbers for computing
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions: Institute for Digitalisation of Education > Department of Network Technologies and Databases
Depositing User: науковий співробітник Алла Віленівна Кільченко
Date Deposited: 07 Dec 2017 09:35
Last Modified: 30 Mar 2018 10:49
URI: https://lib.iitta.gov.ua/id/eprint/709258

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