Analysis of cigarette quality and its influencing factors based on XGBoost model

Zuo Zhang; Jiangshan Jin

doi:10.1117/12.2667316

28 March 2023 Analysis of cigarette quality and its influencing factors based on XGBoost model

Zuo Zhang, Jiangshan Jin

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125662Q (2023) https://doi.org/10.1117/12.2667316
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

High-standard and high-quality products are not only the foundation of the enterprise, but also the core competitiveness of the enterprise, which is a key factor for the enterprise to achieve sustainable development in the context of the new era. In recent years, as the production scale of Enshi Cigarette Factory has been expanding, the traditional detection and evaluation mechanism of cigarette quality stability, to a certain extent, can no longer meet the production environment well. Therefore, this paper introduced machine learning technology into the study, selected four cigarette types as modeling objects:HUANGHELOU (81235), HUANGHELOU (81247), HUANGHELOU (81183) and HUANGHELOU(01103), and took factors affecting cigarette quality as modeling objectives, so as to find the key factors affecting cigarette quality.

Citation Download Citation

Zuo Zhang and Jiangshan Jin "Analysis of cigarette quality and its influencing factors based on XGBoost model", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125662Q (28 March 2023); https://doi.org/10.1117/12.2667316

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