References

• 1998Forecasting with artificial neural networks:4,225 cited
• 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models786 cited
• 1982Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting517 cited
• 2005Principles of operations management222 cited
• 2015Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model219 cited
• 1993Principles of Operations Management192 cited
• 2019Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm189 cited
• 2014Forecasting commodity price indexes using macroeconomic and financial predictors177 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
• 2017Forecasting copper prices by decision tree learning135 cited
• 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model135 cited
• 2016Oil price forecasting using gene expression programming and artificial neural networks127 cited
• 2005An assessment of time series methods in metal price forecasting