Research Article
Machine Learning-Based Food Price Analysis
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326738, author={Xuhui Zheng and Xiao Han}, title={Machine Learning-Based Food Price Analysis }, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={som; exponential smoothing; trend forecasting; food prices}, doi={10.4108/eai.18-11-2022.2326738} }- Xuhui Zheng
Xiao Han
Year: 2023
Machine Learning-Based Food Price Analysis
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326738
Abstract
In this paper, for a variety of food unit prices over a period of more than a year in the same region, the same kind of food with the same trend is studied by SOM neural network clustering algorithm, and the price curve is calculated smoothly by three indices to forecast food prices and trends. Food data comes from national data websites. The results show that there are recognizable categories of food products because of the policy, season and environmental factors received, and the same price trend of food products in the same category is predicted on the basis of which the prices of the next stage are predicted.
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