基于机器学习算法的烤烟香型分类研究
为了探索烤烟香型判别分析的方法,采集了我国典型香型的烤烟样本,运用机器学习的方法对训练集和测试集的样本进行了模型拟合,结果表明：对于清香型、浓香型、中间香型拟合最好的机器学习算法为神经网络模型,就香型而言,该模型对于清香型、浓香型评价相对较好,中间香型整体判定效果较低;就数据集而言,在数据准备中分部位进行香型判别较为合理。在具体香型分析判别中,可首选神经网络机器学习算法,为烟草质量评价和卷烟产品研发等提供技术依据。...
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| Published in | 江西农业学报 Vol. 28; no. 2; pp. 43 - 48 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
安徽中烟工业有限责任公司 技术中心,安徽 合肥,230088%中国农业科学院 烟草研究所,山东 青岛,266101
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-8581 |
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| Abstract | 为了探索烤烟香型判别分析的方法,采集了我国典型香型的烤烟样本,运用机器学习的方法对训练集和测试集的样本进行了模型拟合,结果表明：对于清香型、浓香型、中间香型拟合最好的机器学习算法为神经网络模型,就香型而言,该模型对于清香型、浓香型评价相对较好,中间香型整体判定效果较低;就数据集而言,在数据准备中分部位进行香型判别较为合理。在具体香型分析判别中,可首选神经网络机器学习算法,为烟草质量评价和卷烟产品研发等提供技术依据。 |
|---|---|
| AbstractList | 为了探索烤烟香型判别分析的方法,采集了我国典型香型的烤烟样本,运用机器学习的方法对训练集和测试集的样本进行了模型拟合,结果表明：对于清香型、浓香型、中间香型拟合最好的机器学习算法为神经网络模型,就香型而言,该模型对于清香型、浓香型评价相对较好,中间香型整体判定效果较低;就数据集而言,在数据准备中分部位进行香型判别较为合理。在具体香型分析判别中,可首选神经网络机器学习算法,为烟草质量评价和卷烟产品研发等提供技术依据。 TP181; 为了探索烤烟香型判别分析的方法，采集了我国典型香型的烤烟样本，运用机器学习的方法对训练集和测试集的样本进行了模型拟合，结果表明：对于清香型、浓香型、中间香型拟合最好的机器学习算法为神经网络模型，就香型而言，该模型对于清香型、浓香型评价相对较好，中间香型整体判定效果较低；就数据集而言，在数据准备中分部位进行香型判别较为合理。在具体香型分析判别中，可首选神经网络机器学习算法，为烟草质量评价和卷烟产品研发等提供技术依据。 |
| Abstract_FL | To explore the methods for flue-cured tobacco types classification, typical tobacco samples were collected from main tobacco-planted areas in China.These samples had been trained and tested by several machine learning methods to model fitting.The results showed that Neural Network algorithm could expressed best prediction from these machine learning methods to predict the flue-cured tobacco types, the Qing and Nong types were trained and tested best by the machine learning method, but the Zhong type was trained and tested worse by such methods, discriminant by vary part tobacco leaves was reasonable in the data preparation.So Neural Network algorithm could be used to predict the flue-cured tobacco types in tobacco quality evaluation and cigarette production. |
| Author | 郭东锋 闫宁 胡海洲 刘非 邹鹏 窦玉青 张忠锋 舒俊生 |
| AuthorAffiliation | 安徽中烟工业有限责任公司技术中心,安徽合肥230088 中国农业科学院烟草研究所,山东青岛266101 |
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| Author_FL | YAN Ning SHU Jun-sheng ZOU Peng DOU Yu-qing HU Hai-zhou LIU Fei GUO Dong-feng ZHANG Zhong-feng |
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| DocumentTitleAlternate | Study on Classification of Flue-cured Tobacco Based on Machine Learning Methods |
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| Keywords | 香型 机器学习 烤烟 Classification Machine learning Odor type 分类 Flue-cured tobacco |
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| Notes | 36-1124/S Flue-cured tobacco;Odor type;Classification;Machine learning To explore the methods for flue- cured tobacco types classification,typical tobacco samples were collected from main tobacco-planted areas in China. These samples had been trained and tested by several machine learning methods to model fitting. The results showed that Neural Network algorithm could expressed best prediction from these machine learning methods to predict the flue-cured tobacco types,the Qing and Nong types were trained and tested best by the machine learning method,but the Zhong type was trained and tested worse by such methods,discriminant by vary part tobacco leaves was reasonable in the data preparation. So Neural Network algorithm could be used to predict the flue-cured tobacco types in tobacco quality evaluation and cigarette production. GUO Dong-feng1 , YAN Ning2. , HU Hai-zhou2, LIU Fei, ZOU Peng1 , DOU Yu-qing2, ZHANG Zhong-feng2, SHU Jun-sheng1 （1. Technology Center of Anhui Cigarette Industrial Limited Company, Hefei |
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| PublicationTitle | 江西农业学报 |
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| Publisher | 安徽中烟工业有限责任公司 技术中心,安徽 合肥,230088%中国农业科学院 烟草研究所,山东 青岛,266101 |
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| SubjectTerms | 分类 机器学习 烤烟 香型 |
| Title | 基于机器学习算法的烤烟香型分类研究 |
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