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Detail publikačního výsledku
JANKOVÁ, Z.; DOSTÁL, P.
Originální název
Analysis of Financial Market Using Soft Computing Techniques
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
Soft computing is part of artificial intelligence containing fuzzy logic and artificial neural networks. Soft computing based systems are able to extract relevant information from large data sets by discovering hidden patterns in the data. The combination of these two techniques can provide an intelligent system with more ability and flexibility. Financial markets are becoming increasingly complex and demanding to predict stock price movements due to their non-linear and dynamic nature. The present study combines fuzzy c-means clustering and a neural network to support investment decisions in the ETF in the US stock market. The proposed model is designed to help investors identify profitable opportunities in stock markets.
Anglický abstrakt
Klíčová slova
artificial intelligence; financial market; fuzzy logic; soft computing techniques
Klíčová slova v angličtině
Autoři
Rok RIV
2020
Vydáno
26.06.2019
Nakladatel
Masaryk University
Místo
Brno
ISBN
978-80-210-9338-6
Kniha
Proceedings of the 16th International Scientific Conference
Edice
1
Strany od
201
Strany do
209
Strany počet
9
BibTex
@inproceedings{BUT159003, author="Zuzana {Janková} and Petr {Dostál}", title="Analysis of Financial Market Using Soft Computing Techniques", booktitle="Proceedings of the 16th International Scientific Conference", year="2019", series="1", pages="201--209", publisher="Masaryk University", address="Brno", isbn="978-80-210-9338-6" }