Research on the benchmark price prediction technology based on long -term memory models
Yaqiong Liu, Xin Cheng, Hualei Qu, Jin Luo, Tianqiong Chen, Yonghuan Hu, Hao‐Chen Huang · 2023
With the changes in the global macroeconomic situation and the adjustment of the industrial structure, it is necessary to carry out the research of the benchmark price prediction technology forecasting technology. This article uses long -term memory models to predict the price of materials to adapt to the new industrial structure and improve the price predictive ability of material prices. After that, the material benchmark price prediction experiments were conducted. The experimental results showed that the prediction results of the long and short memory model could meet the ability to improve the benchmark price prediction.