Daily crude oil price forecasting using hybridizing wavelet and artificial neural network model
A new method based on integrating discrete wavelet transform and artificial neural networks (WANN) model for daily crude oil price forecasting is proposed. The discrete Mallat wavelet transform is used to decompose the crude price series into one approximation series and some details series (DS). Th...
Saved in:
Main Authors: | Shabri, Ani, Samsudin, Ruhaidah |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Publishing Corporation
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/52283/1/AniShabri2014_DailyCrudeOilForecastingUsingHybriding.pdf http://eprints.utm.my/id/eprint/52283/ http://dx.doi.org/10.1155/2014/201402 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Crude oil price forecasting based on hybridizing wavelet multiple linear regression model, particle swarm optimization techniques, and principal component analysis
by: Shabri, Ani, et al.
Published: (2014) -
Maximal overlap discrete wavelet transform gaussian process regression for monthly crude oil price forecasting.
by: Hamid, Mohd. Helmie, et al.
Published: (2023) -
Tourism forecasting using hybrid modified empirical mode decomposition and neural network
by: Yahya, Nurhaziyatul Adawiyah, et al.
Published: (2017) -
Forecasting of the rice yields time series forecasting using artificial neural network and statistical model
by: Shabri, Ani, et al.
Published: (2009) -
Use of empirical mode decomposition in improving neural network forecasting of paddy price
by: Abdullah, Siti Nabilah Syuhada, et al.
Published: (2019)