Year: 2023 | Month: March | Volume 68 | Issue 1
A Review of Deep Learning Models for Price Prediction in Agricultural Commodities
- RNNs have been applied for forecasting time series data in most scientific and industrial fields, but mainly in commodity price forecasting.
- RNNs, such as the gated recurrent unit, LSTM neural network, and improvement models, can be powerful prediction alternatives to traditional neural networks and can obtain better prediction results.
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