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基于近红外光谱投影及蒙特卡洛方法的烟叶配方比例上限分析
引用本文:Mi JR,Ma X,Zhang YJ,Wang Y,Wen YD,Zhao LL,Li JH,Zhang LD. 基于近红外光谱投影及蒙特卡洛方法的烟叶配方比例上限分析[J]. 光谱学与光谱分析, 2011, 31(4): 915-919. DOI: 10.3964/j.issn.1000-0593(2011)04-0915-05
作者姓名:Mi JR  Ma X  Zhang YJ  Wang Y  Wen YD  Zhao LL  Li JH  Zhang LD
作者单位:1. 中国农业大学理学院,北京,100193
2. 红塔烟草(集团)有限责任公司,云南,玉溪,653100
3. 中国农业大学信息与电气工程学院,北京,100083
基金项目:国家"十一五"科技支撑计划项目-多功能农业装备与设施研制课题,红塔集团科技项目资助
摘    要:通过PPF投影技术将烟叶配方原料的近红外光谱投影到二维坐标平面上,将原料烟叶光谱投影点按配方比例加权求和后构造出配方投影点,建市配方的投影结构模型,利用蒙特卡洛方法模拟原料烟叶投影点的自身差异变动来分析配方投影点偏离初始状态的程度.结果表明:配方主导权重,即配方样品的最高比例越小,烟叶原料种类越多.配方偏离初始状态的程度越小,即配方的稳定性越好,以上结论与烟叶配方设计时"多类型,低比例"的认识原则一致.本文从理论分析角度给出胃在不同原料种类数下进行配方设计时,所对应的配方样品比例上限值,该量化上限比例的方法对其他有关配方设计的问题也有指导意义.

关 键 词:降维投影技术  随机模拟法  近红外光谱

The highest proportion of tobacco materials in the blend analysis using PPF projection method for the near-infrared spectrum and Monte Carlo method
Mi Jin-Rui,Ma Xiang,Zhang Ya-Juan,Wang Yi,Wen Ya-Dong,Zhao Long-Lian,Li Jun-Hui,Zhang Lu-Da. The highest proportion of tobacco materials in the blend analysis using PPF projection method for the near-infrared spectrum and Monte Carlo method[J]. Spectroscopy and Spectral Analysis, 2011, 31(4): 915-919. DOI: 10.3964/j.issn.1000-0593(2011)04-0915-05
Authors:Mi Jin-Rui  Ma Xiang  Zhang Ya-Juan  Wang Yi  Wen Ya-Dong  Zhao Long-Lian  Li Jun-Hui  Zhang Lu-Da
Affiliation:College of Science, China Agricultural University, Beijing 100193, China. athosmi@163.com
Abstract:The present paper builds a model based on Monte Carlo method in the projection of the blending tobacco. This model is made up of two parts: the projecting points of tobacco materials, whose coordinates are calculated by means of the PPF (projection based on principal component and Fisher criterion) projection method for the tobacco near-infrared spectrum; and the point of tobacco blend, which is produced by linear additive to the projecting point coordinates of tobacco materials. In order to analyze the projection points deviation from initial state levels, Monte Carlo method is introduced to simulate the differences and changes of raw material projection. The results indicate that there are two major factors affecting the relative deviation: the highest proportion of tobacco materials in the blend, which is too high to make the deviation under control; and the quantity of materials, which is so small to control the deviation. The conclusion is close to the principle of actual formulating designing, particularly, the more in the quantity while the lower in proportion of each. Finally the paper figures out the upper limit of the proportions in the different quantity of materials by theory. It also has important reference value for other agricultural products blend.
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