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A Novel Hybrid AI System Framework for Crude Oil Price Forecasting · Study

WorkA Novel Hybrid AI System Framework for Crude Oil Price Forecasting

Shouyang Wang2004

Work2004

A Novel Hybrid AI System Framework for Crude Oil Price Forecasting

Shouyang Wang · Lean Yu · Kin Keung Lai

67 citations·0/0 files stored·Lecture notes in computer science

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Stock Market Forecasting Methods Forecasting Techniques and Applications Market Dynamics and Volatility

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References

2001A semiparametric approach to short-term oil price forecasting 1994Oil Price Forecasting in the 1980s: What Went Wrong?*

Cited by

2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm 2019Machine learning in energy economics and finance: A review 2016Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?2013Crude Oil Price Forecasting Techniques: A Comprehensive Review of Literature 2019The economic and financial properties of crude oil: A review 2016Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks 2015A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting 2021A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities

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2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigmarticle · 2 shared references 2016Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?article · 2 shared references 2002An empirical exploration of the world oil price under the target zone modelarticle · 2 shared references 2017Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecastingarticle · 2 shared references 2013Crude Oil Price Forecasting Techniques: A Comprehensive Review of Literaturepreprint · 2 shared references 2019The economic and financial properties of crude oil: A reviewreview · 2 shared references

Details

Year2004

Typeother

Published2004-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations67

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/978-3-540-30537-8_26

openalex_workW1572130091

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