郑州轻工业大学烟草科学与工程学院;红云红河烟草(集团)有限责任公司;山东中烟工业有限责任公司青岛卷烟厂;河南中烟工业有限责任公司技术中心;
【目的】明确烟丝回弹特性对烟支物理质量的影响。【方法】对不同牌号不同批次烟丝的回弹特性及对应卷制批次的烟支物理质量(烟支硬度、烟支含末率、端部落丝量)进行相关性分析,利用烟丝物理指标(长丝率、中丝率、碎丝率、填充值、含水率)及回弹特性基于机器学习分别搭建并优化烟支物理指标(烟支硬度、烟支含末率、端部落丝量)的预测模型。【结果】(1)烟丝回弹特性与烟支硬度为显著正相关,与烟支含末率及烟支端部落丝量之间的相关关系呈负相关关系。(2)烟支硬度的最佳预测模型为网格搜索优化的梯度提升回归,R~2为0.95;烟支含末率的最佳预测模型为贝叶斯优化的梯度提升回归,R~2为0.97;烟支端部落丝最佳预测模型为网格搜索优化的随机森林回归,R~2为0.97。【结论】所构建的模型均具有较高的精准度,在一定实验条件下可用于对烟支物理指标的预测。
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下载次数 | 被引频次 | 阅读次数 |
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基本信息:
DOI:10.16472/j.chinatobacco.2023.T0182
中图分类号:TS452;TP181
引用信息:
[1]李宜馨,郭朋玮,周茂忠等.基于机器学习的烟丝回弹特性与烟支物理指标关系研究[J].中国烟草学报,2024,30(06):39-47.DOI:10.16472/j.chinatobacco.2023.T0182.
基金信息:
河南中烟工业有限责任公司重点项目“烟丝柔软性的检测与应用研究”(AW201911)