- 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.
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