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Scrap steel price predictions for southwest China via machine learning
16 references·1 citing·34 second hop
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References

  • 1996A test for independence based on the correlation dimension3,526 cited
  • 2006Chapter 4 Forecast Combinations1,318 cited
  • 2019Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series526 cited
  • 2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series481 cited
  • 2020Corn Cash Price Forecasting443 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
  • 1996A comparison of artificial neural network and time series models for forecasting commodity prices293 cited
  • 2021Corn cash price forecasting with neural networks291 cited
  • 2024Forecasting wholesale prices of yellow corn through the Gaussian process regression277 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2024Wholesale price forecasts of green grams using the neural network243 cited
  • 2024Price forecasting through neural networks for crude oil, heating oil, and natural gas239 cited
  • 2024Forecasts of coking coal futures price indices through Gaussian process regressions225 cited
  • 2024Thermal coal futures trading volume predictions through the neural network

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215 cited
  • 2024Carbon emission allowance price forecasting for China Guangdong carbon emission exchange via the neural network213 cited
  • 2007An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting198 cited
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    • 2025Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market26 cited