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Deep Learning Approaches for Potato Price Forecasting: Comparative Analysis of LSTM, Bi-LSTM, and AM-LSTM Models
16 references·0 citing·49 second hop
Deep Learning Approaches for Potato Price Forecasting: Comparative Analysis of LSTM, Bi-LSTM, and AM-LSTM Models (2024)Deep Learning Approaches for Potato Price…An Enhanced Long Short-Term Memory Recurrent Neural Network Deep Learning Model for Potato Price Prediction (2024)An Enhanced Long Short-Term M…Research on Improved GRU-Based Stock Price Prediction Method (2023)Research on Improved GRU-Base…Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward (2022)Statistical, machine learning…Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately (2022)Implementation of Long Short-…Forecasting Agricultural Commodity Prices Using Dual Input Attention LSTM (2022)Forecasting Agricultural Comm…An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique (2022)An ARIMA-LSTM model for predi…Deep long short-term memory based model for agricultural price forecasting (2021)Deep long short-term memory b…Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)Forecasting stock prices with…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…Exploring the attention mechanism in LSTM-based Hong Kong stock price movement prediction (2019)Exploring the attention mecha…Predict Stock Price with Financial News Based on Recurrent Convolutional Neural Networks (2017)Predict Stock Price with Fina…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India (2012)Time-delay neural networks fo…Forecasting and trading currency volatility: an application of recurrent neural regression and model combination (2002)Forecasting and trading curre…Testing for a Unit Root in Time Series Regression (1988)Testing for a Unit Root in Ti…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimator…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)A Monetary History of the United States 1867-1960 (1964)Time Series Analysis Forecasting and Control. 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References

  • 1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
  • 1988Testing for a Unit Root in Time Series Regression19,288 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2020Forecasting stock prices with long-short term memory neural network based on attention mechanism366 cited
  • 2019Exploring the attention mechanism in LSTM-based Hong Kong stock price movement prediction180 cited
  • 2022An ARIMA-LSTM model for predicting volatile agricultural price series with random forest technique159 cited
  • 2022Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward134 cited
  • 2012Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India114 cited
  • 2002Forecasting and trading currency volatility: an application of recurrent neural regression and model combination105 cited
  • 2021Deep long short-term memory based model for agricultural price forecasting88 cited
  • 2022Forecasting Agricultural Commodity Prices Using Dual Input Attention LSTM87 cited
  • 2022Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately59 cited

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2023
Research on Improved GRU-Based Stock Price Prediction Method
54 cited
  • 2024An Enhanced Long Short-Term Memory Recurrent Neural Network Deep Learning Model for Potato Price Prediction50 cited
  • 2017Predict Stock Price with Financial News Based on Recurrent Convolutional Neural Networks47 cited
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