中国烟草学报2024，Vol.30Issue(2)：1-10,10.DOI:10.16472/j.chinatobacco.2022.T0236
基于热分析图谱的卷烟配方原料分类分档模型构建与应用
Construction and application of the classification model for cigarette blend raw material based on thermal analysis spectrum
摘要
Abstract
[Background]This study aims to improve the work efficiency of classification and grading of cigarette blend raw materials,and help formula personnel to objectively grasp the annual fluctuation of formula raw materials.[Methods]A new technique is proposed for classifying and grading cigarette blend raw materials by combining thermal analysis spectra with the Support Vector Machine(SVM)algorithm.The SVM module in sklearn of python3 is used,and through the kernel function and one-against-all method and selecting appropriate penalty parameters,129 samples from the years 2016-2018 are trained,and 33 samples are tested.After determining the prediction accuracy of the model,the model was applied to the classification evaluation of 46 samples in 2019.[Results]The classification accuracy rate of the 129 training set samples was 93.02%,the classification accuracy rate of the 33 test set samples was 84.85%,and the classification accuracy rate of the 46 cigarette blend raw materials was 84.78%.关键词
卷烟配方原料/分类/热分析图谱/支持向量机Key words
cigarette blend raw material/classification/thermal analysis spectrum/support vector machine引用本文复制引用
何伟,李菁菁,李巧灵,杨韧强,刘泽春,蔡国华,邓小华,叶仲力,熊哲,余志强,梁晖..基于热分析图谱的卷烟配方原料分类分档模型构建与应用[J].中国烟草学报,2024,30(2):1-10,10.基金项目
福建中烟工业有限公司科技项目"片烟质量热分析技术数字化评价模型的构建及应用"(FJZYJH2021ZD007) （FJZYJH2021ZD007）
