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Memory based neural network for cumin price forecasting in Gujarat, India
13 references·1 citing·50 second hop
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References

  • 2018Forecasting principles and practice4,405 cited
  • 2021Corn cash price forecasting with neural networks291 cited
  • 2020Predictive analytics in Agriculture: Forecasting prices of Arecanuts in Kerala165 cited
  • 2018Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU)119 cited
  • 2022A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting105 cited
  • 2023Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis100 cited
  • 2022Soybean and Soybean Oil Price Forecasting through the Nonlinear Autoregressive Neural Network (NARNN) and NARNN with Exogenous Inputs (NARNN–X)86 cited
  • 2020Forecasting Australia's real house price index: A comparison of time series and machine learning methods80 cited
  • 2020Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method78 cited
  • 2020Forecasting of Cryptocurrency Prices Using Machine Learning77 cited
  • 2020Futures price prediction of agricultural products based on machine learning77 cited
  • 2023Recurrent neural network architecture for forecasting banana prices in Gujarat, India46 cited
  • 2020Advanced Studies of Financial Technologies and Cryptocurrency Markets26 cited

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  • 2025

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Forecasting Potato Prices in Agra: Comparison of Linear Time Series Statistical vs. Neural Network Models
28 cited