Ensemble of Adaptive Neuro-Fuzzy Inference System Using Particle Swarm Optimization for Prediction of Crude Oil Prices

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86095767" target="_blank" >RIV/61989100:27240/14:86095767 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86095767
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7086187" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7086187</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HIS.2014.7086187" target="_blank" >10.1109/HIS.2014.7086187</a>

Result language
angličtina
Original language name
Ensemble of Adaptive Neuro-Fuzzy Inference System Using Particle Swarm Optimization for Prediction of Crude Oil Prices
Original language description
Oil is the lifeblood of the global economy. Recently, oil prices have witnessed fluctuations and the prediction of oil prices has become a challenge for researchers. The aim of this research is to design a model that is able to predict the prices of crude oil with good accuracy. We used the daily data from 1999 to 2012 with 14 input factors to predict the price of West Texas Intermediate (WTI), which is a well-known benchmark. We propose an ensemble of Adaptive Neuro-Fuzzy Inference System using a Particle Swarm Optimization algorithm for oil price prediction and the empirical results illustrate high performance and accurate results.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 14th International Conference on Hybrid Intelligent Systems, HIS 2014
ISBN
978-1-4799-7633-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
141 - 146
Publisher name
IEEE
Place of publication
New York
Event location
Kuvajt
Event date
Dec 14, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)