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dc.contributor.authorSimutis, R.ru
dc.contributor.authorStankevicius, G.ru
dc.contributor.authorVeckys, A.ru
dc.coverage.spatialBrestru
dc.date.accessioned2021-07-27T08:09:28Z
dc.date.available2021-07-27T08:09:28Z
dc.date.issued1999
dc.identifier.citationSimutis, R. Fuzzy Expert System for a Stock Trading Process / R. Simutis, G. Stankevicius, A. Veckys // International Conference on Neural Networks and Artificial Intelligence ICNNAI'99 = Международная конференция по нейронным сетям и искусственному интеллекту ICNNAI'99 : Proceedings, Brest, Belarus, 12–15 October 1999 / Brest Polytechnic Institute, Department of Computers and Laboratory of Artificial Neural Networks, Belarus Special Interest Group of International Neural NetWork Society, International Neural NetWork Society, Belarusian State University of Informatics and Radioelectronics (Belarus), Belarusian Academy of Sciences, Institute of Engineering Cybemetics (Belarus), Universidad Politechnica de Valencia (Spain), Institute of Computer Information Technologies (Ukraine, Ternopil) ; ed. V. Golovko. – Brest : BPI, 1999. – P. 158–160.ru
dc.identifier.urihttps://rep.bstu.by/handle/data/20651
dc.description.abstractThe goal of this study was to build and to evaluate a human skill based fuzzy expert system for a decision making support in stock trading process. Our focus was concentrated on Computer software that is capable to reproduce the knowledge from the skilled stock trader. Using classical technique and soft computing methods the expert system STRASS (Stock TRAding Support System) was developed. The proposed system was tested for the historical collection of NASDAQ, NYSE and AMAX stock records. At present, it is being tested by "KOLEGU" mutual fund in a real stock trading process. Key words – fuzzy expert systems, stock trading process, evolutionary programming.ru
dc.language.isoenru
dc.publisherBPIru
dc.titleFuzzy Expert System for a Stock Trading Processru
dc.typeНаучный доклад (Working Paper)ru


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