Academic Journal of Business & Management, 2022, 4(4); doi: 10.25236/AJBM.2022.040416.
Zibin Bi1, Ruixuan Hao1, Ziqi Dai2
1Shihezi University, Shihezi, Xinjiang, 832061, China
2Anhui Jianzhu University, Hefei, Anhui, 230601, China
Time series analysis can be used to analyze the price. The LSTM Neural Network model is used to predict the price. Moreover, the correlation analysis between variables and price is conducted. By improving and optimizing the mathematical model, the RMSE values of LSTM (Long Short Term Memory) with a single function of weight price are 8.719 and 13.759, and the RESM values of prediction results are larger than those of other models, so the accuracy of prediction results is higher.
LSTM; Neural Network; Time series
Zibin Bi, Ruixuan Hao, Ziqi Dai. Predict the Price Change over Time with LSTM Neural Network. Academic Journal of Business & Management (2022) Vol. 4, Issue 4: 79-82. https://doi.org/10.25236/AJBM.2022.040416.
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