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Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
16 references·0 citing·44 second hop
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  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2019Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm189 cited
  • 2020A hybrid framework for carbon trading price forecasting: The role of multiple influence factor183 cited
  • 2020A hybrid deep learning approach by integrating LSTM-ANN networks with GARCH model for copper price volatility prediction156 cited
  • 2015Forecasting the COMEX copper spot price by means of neural networks and ARIMA models151 cited
  • 2018Gold price dynamics and the role of uncertainty148 cited
  • 2020Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks140 cited
  • 2017Forecasting copper prices by decision tree learning135 cited
  • 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model135 cited
  • 2005An assessment of time series methods in metal price forecasting121 cited
  • 2017Does oil and gold price uncertainty matter for the stock market?109 cited
  • 2019Monthly crude oil spot price forecasting using variational mode decomposition

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107 cited
  • 2019Combining wavelet decomposition with machine learning to forecast gold returns103 cited
  • 2018An adaptive forecasting approach for copper price volatility through hybrid and non-hybrid models75 cited
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