期刊论文

Study on Discrimination Model of Alcoholized Cigar Tobacco Varieties Based on Near Infrared Spectroscopy

中文

天津农业科学

1006-6500

2024

30

4

82-90

10.3969/j.issn.1006-6500.2024.04.013

中国烟草总公司云南省公司科技计划项目(2021530000242040)。

本校为第一机构

为提高不同醇化后雪茄烟叶品种的判别准确性,采用多元散射校正等预处理算法对光谱数据进行去噪处理,以降低试验、环境和仪器噪音对数据的影响。结合支持向量机、BP神经网络和随机森林建立不同品种的近红外光谱判别模型,通过准确率和混...展开更多 为提高不同醇化后雪茄烟叶品种的判别准确性,采用多元散射校正等预处理算法对光谱数据进行去噪处理,以降低试验、环境和仪器噪音对数据的影响。结合支持向量机、BP神经网络和随机森林建立不同品种的近红外光谱判别模型,通过准确率和混淆矩阵评估模型性能。结果表明:采用SNV+FD预处理算法和CARS特征波长选择算法建立的模型效果最佳,在训练集和预测集上...

The aim of this study was to improve the discrimination accuracy of different post-alcoholised cigar tobacco varieties,pre-processing algorithms such as multiple scattering correction were used to denoise the spectral data in order to reduce the influence of experimenta...MORE The aim of this study was to improve the discrimination accuracy of different post-alcoholised cigar tobacco varieties,pre-processing algorithms such as multiple scattering correction were used to denoise the spectral data in order to reduce the influence of experimental,environmental and instrumental noise on the data.S...