The Application of EEMD and Neural Network Based on Polak-Ribiére Conjugate Gradient Algorithm for Crude Oil Prices Forecasting
Forecasting crude oil prices is very difficult to do because it has nonlinear and nonstationary characteristics. This research proposes a crude oil prices forecasting using a combination of EEMD and neural network. EEMD was used to decompose the price of crude oil into several IMFs and one residue....
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2016-01-01
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Series: | MATEC Web of Conferences |
Subjects: | |
Online Access: | http://dx.doi.org/10.1051/matecconf/20165803013 |