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Deep Learning Based Models: Basic LSTM, Bi LSTM, Stacked LSTM, CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices
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References

  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2018Time series forecasting of petroleum production using deep LSTM recurrent networks971 cited
  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2019Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series526 cited
  • 2020Gold volatility prediction using a CNN-LSTM approach274 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2020Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants205 cited
  • 2020Predictive analytics in Agriculture: Forecasting prices of Arecanuts in Kerala165 cited
  • 2019Carbon futures price forecasting based with ARIMA-CNN-LSTM model137 cited
  • 1999Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models136 cited
  • 2019Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler133 cited
  • 2020Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons113 cited
  • 2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019112 cited

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  • 2021Forecasting spot prices of agricultural commodities in India: Application of deep‐learning models87 cited
  • 2020Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method78 cited
  • 2020Effective long short-term memory with fruit fly optimization algorithm for time series forecasting75 cited
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