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A New Method for Crude Oil Price Forecasting Based on Support Vector Machines
1 references·16 citing·48 second hop
A New Method for Crude Oil Price Forecasting Based on Support Vector Machines (2006)A New Method for Crude Oil Price Forecast…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods (2023)Oil price forecasting: A hybr…A survey on machine learning models for financial time series forecasting (2022)A survey on machine learning …Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance (2021)Crude oil price prediction: A…A new hybrid model for forecasting Brent crude oil price (2020)A new hybrid model for foreca…A new crude oil price forecasting model based on variational mode decomposition (2020)A new crude oil price forecas…Online big data-driven oil consumption forecasting with Google trends (2018)Online big data-driven oil co…Oil price forecasting using a hybrid model (2018)Oil price forecasting using a…Crude oil price forecasting based on internet concern using an extreme learning machine (2018)Crude oil price forecasting b…A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms (2018)A novel hybrid method of fore…Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time? 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References

  • 2004Forecasting stock market movement direction with support vector machine1,119 cited

Cited by

  • 2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method253 cited
  • 2018Online big data-driven oil consumption forecasting with Google trends236 cited
  • 2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting204 cited
  • 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting204 cited
  • 2007An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring198 cited
  • 2023Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods180 cited
  • 2018Oil price forecasting using a hybrid model176 cited
  • 2015Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction175 cited
  • 2020A new crude oil price forecasting model based on variational mode decomposition172 cited
  • 2021Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance170 cited
  • 2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms146 cited
  • 2022A survey on machine learning models for financial time series forecasting

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135 cited
  • 2018Crude oil price forecasting based on internet concern using an extreme learning machine134 cited
  • 2020A new hybrid model for forecasting Brent crude oil price133 cited
  • 2014A compressed sensing based AI learning paradigm for crude oil price forecasting122 cited
  • 2016Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?116 cited