| 基于烟叶致香成分建立烤烟香型分类模型方法研究 |
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| 引用本文： | 许永,张涛,吴亿勤,李超,张承明,杨光宇,刘巍,秦云华,缪明明.基于烟叶致香成分建立烤烟香型分类模型方法研究[J].中国农学通报,2016,32(25):181-187. |
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| 作者姓名： | 许永 张涛 吴亿勤 李超 张承明 杨光宇 刘巍 秦云华 缪明明 |
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| 作者单位： | 云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心,云南中烟技术中心 |
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| 基金项目： | 云南中烟工业有限责任公司在研项目“不同香型烟叶化学成分研究”(2012JC01)。 |
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| 摘 要： | 为筛选出基于烟叶致香成分数据建立烤烟香型分类的最优模型,以便于较好地对烤烟的香型进行正确分类。首先对142个烤烟烟叶样品中的45个指标采用行业标准进行检测,然后采用逐步回归法筛选出14个烟叶致香成分,依据这14个指标采用判别分析法、Logistic回归、高斯混合模型、分类树、K最邻近法、人工神经网络和支持向量机7种方法进行建模。通过对不同方法建立的模型采用100次随机抽取训练集样本和测试样本计算错误分类率,选择错误分类率较低的模型作为优选模型。结果表明,线性判别法和高斯混和模型建立的2种香型函数能较好地对未知样品的香型进行正确分类,且效果较好(正确率可达90%以上)。研究筛选出的2种优选模型对于烤烟香型分类研究具有一定的应用价值。
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| 关 键 词： | 烟叶致香成分 烤烟香型 模型分类法 |
| 收稿时间： | 2015/9/28 0:00:00 |
| 修稿时间： | 5/3/2016 12:00:00 AM |
Flavor Classification Model Based on Aroma Components of Tobacco Leaves |
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| Abstract: | The study was based on the aroma components of tobacco leaves to establish the classification model of tobacco flavor, and then all of the models were compared to select the optimal model. Firstly, detected 45 components tobacco leaves by tobacco industry standards, then selected 14 aroma components by stepwise regression method, discriminate analysis, Logistic regression, Gauss mixture model, classification tree, using K nearest neighbor method, artificial neural network and support vector machine seven methods to establish the models based on the 14 index. Using 100 randomly selected samples as the training sets and test samples to calculate the error classification rate through the establishment of the different methods of models, the model was the preferred model which classification error rate was lower than others. By contrast, two kinds of flavor function model (linear discriminate method and Gauss mixed) could be better to unknown sample types. Two kinds of optimization models had a certain application value for classification research of tobacco flavor. |
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| Keywords: | aroma components of tobacco leaves tobacco flavor model classification methods research |
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