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Using a novel clustered 3D-CNN model for improving crop future price prediction
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Using a novel clustered 3D-CNN model for improving crop future price prediction (2022)Using a novel clustered 3D-CNN model for …Time-series forecasting of seasonal items sales using machine learning – A comparative analysis (2022)Time-series forecasting of se…Coking coal futures price index forecasting with the neural network (2022)Coking coal futures price ind…Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)Forecasting stock prices with…Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons (2020)Forecasting Agricultural Comm…Managing climate change risks in global supply chains: a review and research agenda (2019)Managing climate change risks…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Prediction of soybean price in China using QR-RBF neural network model (2018)Prediction of soybean price i…A combined neural network model for commodity price forecasting with SSA (2018)A combined neural network mod…Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets (2017)Predictability of machine lea…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Do oil price increases cause higher food prices? 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References

  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2009An artificial neural network (p,d,q) model for timeseries forecasting785 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
  • 2019Managing climate change risks in global supply chains: a review and research agenda417 cited
  • 2020Forecasting stock prices with long-short term memory neural network based on attention mechanism366 cited
  • 2014Do oil price increases cause higher food prices?233 cited
  • 2022Time-series forecasting of seasonal items sales using machine learning – A comparative analysis217 cited
  • 2022Coking coal futures price index forecasting with the neural network125 cited
  • 2012Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India114 cited
  • 2020Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons113 cited

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2018
Prediction of soybean price in China using QR-RBF neural network model
101 cited
  • 2017Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets80 cited
  • 2018A combined neural network model for commodity price forecasting with SSA79 cited
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    • 2025Time series prediction for cryptocurrency markets with transformer and parallel convolutional neural networks35 cited