| 基于支持向量机的食醋总酸近红外光谱建模 |
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| 引用本文： | 邹小波,陈正伟,石吉勇,王开亮,蒋培,黄晓纬. 基于支持向量机的食醋总酸近红外光谱建模[J]. 中国酿造, 2011, 0(3) |
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| 作者姓名： | 邹小波 陈正伟 石吉勇 王开亮 蒋培 黄晓纬 |
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| 作者单位： | 江苏大学,食品与生物工程学院,江苏,镇江,212013 |
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| 基金项目： | 全国优秀博士基金，国家博士后基金 |
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| 摘 要： | 为了得到稳定可靠的食醋总酸光谱模型,以不同产地、不同种类的95个食醋样品为研究对象,应用基于统计学原理的最小二乘支持向量机(LS-SVM)对食醋总酸含量进行光谱分析.对预处理后的光谱进行主成分分析(PCA),以主成分信号作为输入变量建立食醋总酸含量的近红外光谱模型,并与偏最小二乘法(PLS)和向后区间偏最小二乘法(biPLS)模型进行比较.结果表明,LS-SVM模型中的校正集中的相关系数(rc)和交互验证均方根误差(RMSECV)分别达到0.9614和0.2192,预测集相关系数(rp)和预测均方根误差(RMSEP)分别达到和0.919和0.3226,均优于PLS和biPLS模型.研究表明,近红外光谱与食醋总酸含量呈非线性关系,采用LS-SVM建立的模型预测性能更好,精度更高.
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| 关 键 词： | 近红外光谱 偏最小二乘支持向量机 食醋 总酸 |
Near infrared modeling of total acid content in vinegars based on LS-SVM |
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| ZOU Xiaobo,CHEN Zhengwei,SHI Jiyong,WANG Kailiang,JIANG Pei,HUANG Xiaowei. Near infrared modeling of total acid content in vinegars based on LS-SVM[J]. China Brewing, 2011, 0(3) |
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| Authors: | ZOU Xiaobo CHEN Zhengwei SHI Jiyong WANG Kailiang JIANG Pei HUANG Xiaowei |
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| Affiliation: | ZOU Xiaobo,CHEN Zhengwei,SHI Jiyong,WANG Kailiang,JIANG Pei,HUANG Xiaowei (School of Food & Biological Engineering,Jiangsu University,Zhenjiang 212013,China) |
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| Abstract: | Using 95 vinegar samples with different types and from different areas as raw materials,spectrum analysis for total acid in vinegar was carried out with application of least squares support vector machine(LS-SVM) based on statistics.The pretreatment spectra was conducted principal component analysis(PCA) to get principal component signals as the input variables to establish the near-infrared spectral model of total acid in vinegar, and comparison with partial least squares(PLS) model and backward interval p... |
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| Keywords: | near infrared spectroscopy LS-SVM vinegar total acid |
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