Analysis of the number of diners based on time series model

Zhang Zuo; Yang WenHua; Zhang RuiPing

doi:10.1117/12.2682279

26 May 2023 Analysis of the number of diners based on time series model

Zhang Zuo, Yang WenHua, Zhang RuiPing

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127000Q (2023) https://doi.org/10.1117/12.2682279
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

In order to actively respond to the requirements of green development and seek new breakthroughs in the whole process and cycle of green transformation such as industrial chain and management links, this paper introduces the time series algorithm into the research, mines and analyzes 141076 historical data collected by the data acquisition system and takes the number of diners as the modeling goal. The empirical results show that the ARIMA(6,1,4) model established in this paper has good analysis effect, and the error rates of the model in the training set and test set are 13.53% and 10.182%, respectively, which can provide a good theoretical basis for achieving precision and saving in dining supply and reducing food consumption.

Citation Download Citation

Zhang Zuo, Yang WenHua, and Zhang RuiPing "Analysis of the number of diners based on time series model", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127000Q (26 May 2023); https://doi.org/10.1117/12.2682279

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