INFORMATION TECHNOLOGY OF STOCK INDEXES FORECASTING ON THE BASE OF FUZZY NEURAL NETWORKS
Yuriy TRYUS
tryusyv@gmail.comComputer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy (Ukraine)
Nataliya ANTIPOVA
Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy, (Ukraine)
Kateryna ZHURAVEL
Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy, (Ukraine)
Grygoriy ZASPA
Software Department, Cherkasy State Technological University, 460 Shevchenko Blvd, 18006, Cherkasy (Ukraine)
Abstract
In this research the information technology for stock indexes forecast on the base of fuzzy neural networks was created. Thepossibility of its use for multi-parameter short-time stock indexes forecasts, in particular S&P500, DJ, NASDAC was checked. Thecreated 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.
Keywords:
neural networks, fuzzy neural networks, forecasting, stock indexesReferences
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Authors
Yuriy TRYUStryusyv@gmail.com
Computer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy Ukraine
Authors
Nataliya ANTIPOVAComputer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy, Ukraine
Authors
Kateryna ZHURAVELComputer Science and Information Technology Department, Cherkasy State Technological University,460 Shevchenko Blvd, 18006, Cherkasy, Ukraine
Authors
Grygoriy ZASPASoftware Department, Cherkasy State Technological University, 460 Shevchenko Blvd, 18006, Cherkasy Ukraine
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