Detail publikace

Analysis of Financial Market Using Soft Computing Techniques

JANKOVÁ, Z. DOSTÁL, P.

Originální název

Analysis of Financial Market Using Soft Computing Techniques

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

artificial intelligence; financial market; fuzzy logic; soft computing techniques

Autoři

JANKOVÁ, Z.; DOSTÁL, P.

Vydáno

26. 6. 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"
}