Comparative Study of LSTM and GRU Models on the Prediction Performance of Logistic Demand in Hubei Province
Predicting logistics demand is a key factor in improving and optimizing logistics supply chain efficiency and reducing costs.This paper takes the logistics demand of Hubei Province as the application scenario,and uses LSTM and GRU networks to predict its logistics demand.According to the error comparison,it is found that the performance of LSTM network is significantly better than that of GRU network,and it has higher prediction accuracy.
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