Detail publikace
Financial Time Series Prediction by Means of Fuzzy Logic
ŽÁK, L.
Český název
Financial Time Series Prediction by Means of Fuzzy Logic
Anglický název
Financial Time Series Prediction by Means of Fuzzy Logic
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
cs
Originální abstrakt
This paper deals with Fuzzy Interface System (FIS) design and tuning. It discusses its use for prediction of Sporobond unit trust rate trend for subsequent five days. The accuracy of this prediction is evaluated on basis of two criteria, the average deviation and the difference between predicted and real value of latest time series member We learn high successfulness of use fuzzy logic for financial time series prediction.
Český abstrakt
This paper deals with Fuzzy Interface System (FIS) design and tuning. It discusses its use for prediction of Sporobond unit trust rate trend for subsequent five days. The accuracy of this prediction is evaluated on basis of two criteria, the average deviation and the difference between predicted and real value of latest time series member We learn high successfulness of use fuzzy logic for financial time series prediction.
Anglický abstrakt
This paper deals with Fuzzy Interface System (FIS) design and tuning. It discusses its use for prediction of Sporobond unit trust rate trend for subsequent five days. The accuracy of this prediction is evaluated on basis of two criteria, the average deviation and the difference between predicted and real value of latest time series member We learn high successfulness of use fuzzy logic for financial time series prediction.
Klíčová slova anglicky
Time series, prediction, fuzzy logic, fuzzy interface system – FIS
Rok RIV
2004
Vydáno
16.06.2004
Nakladatel
VUT FSI
Místo
Brno
ISBN
80-214-2676-4
Kniha
Mendel 2004, 10th International Conference on Soft Computing
Strany od–do
204–210
Počet stran
6
BIBTEX
@inproceedings{BUT13155,
author="Libor {Žák},
title="Financial Time Series Prediction by Means of Fuzzy Logic",
booktitle="Mendel 2004, 10th International Conference on Soft Computing",
year="2004",
month="June",
pages="204--210",
publisher="VUT FSI",
address="Brno",
isbn="80-214-2676-4"
}