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ArticleLSSVR ensemble learning with uncertain parameters for crude oil price forecasting

Lean Yu2016

Article2016

LSSVR ensemble learning with uncertain parameters for crude oil price forecasting

Lean Yu · Huijuan Xu · Ling Tang

81 citations·0/0 files stored·Applied Soft Computing

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Stock Market Forecasting Methods Forecasting Techniques and Applications Machine Learning and ELM

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References

2010SVR with hybrid chaotic genetic algorithms for tourism demand forecasting 2005Modeling and forecasting cointegrated relationships among heavy oil and product prices 2014A compressed sensing based AI learning paradigm for crude oil price forecasting 2013Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study 2011Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network 2008Credit scoring using support vector machines with direct search for parameters selection

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2018Forecasting the WTI crude oil price by a hybrid-refined method 2020A multi-granularity heterogeneous combination approach to crude oil price forecasting 2021Forecasting crude oil price with a new hybrid approach and multi-source data 2018A semi-heterogeneous approach to combining crude oil price forecasts 2023A novel hybrid model based on deep learning and error correction for crude oil futures prices forecast 2020Crude oil price forecasting based on a novel hybrid long memory GARCH-M and wavelet analysis model

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2015A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecastingarticle · 4 shared references 2018The VEC-NAR model for short-term forecasting of oil pricesarticle · 3 shared references 2022Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithmarticle · 3 shared references 2018A novel approach for oil price forecasting based on data fluctuation networkarticle · 3 shared references 2018A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecastingarticle · 2 shared references 2019Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecastingarticle · 2 shared references

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Year2016

Typearticle

Published2016-09-20

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations81

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.asoc.2016.09.023

openalex_workW2521607306

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2022

Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets

2020Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price