STUDY ON DETECTION TECHNOLOGY OF MILK POWDER BASED ON SUPPORT VECTOR MACHINES AND NEAR INFRARED SPECTROSCOPY

机译：基于支持向量机和近红外光谱的牛奶粉检测技术研究

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper presents a novel classifier to identify standard and sub-standard milk powder, which is built by support vector machines (SVM) and near infrared spectroscopy (NIR). The training set is composed of 38 samples and the testing set is composed of 12 samples. The correct classification ratio of the training set is up to 100%, while that of the testing set is up to 100%. The result indicates that the combination of SVM and NIR can be used as a fast, convenient, and safe technology to identify standard and sub-standard milk powder.

机译：本文提出了一种用于识别标准和不合格奶粉的新型分类器，该分类器由支持向量机（SVM）和近红外光谱（NIR）构建。训练集由38个样本组成，测试集由12个样本组成。训练集的正确分类率最高为100％，而测试集的正确分类率最高为100％。结果表明，支持向量机和近红外光谱的结合可以作为一种快速，方便，安全的技术来鉴别标准和不合格的奶粉。

著录项

来源
《IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN)》|2007年|P.1315-1316|共2页
会议地点 Wuyishan(CN)
作者
Jingzhu Wu; Shiping Zhu; Yun Xu; Yiming Wang;
展开▼
作者单位

College of Information Engineering, Beijing Technology Business University, Beijing, China, 100037;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
关键词
near infrared spectroscopy; support vector machines; milk powder;

机译：近红外光谱;支持向量机;奶粉;

相似文献

外文文献
中文文献
专利

1. Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines [J] . Zhang Fudong, Liu Jie, Lin Jun, Infrared physics and technology . 2019,第期

机译：基于近红外光谱的油页岩从小波变换和最小二乘支持向量机的检测
2. Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines [J] . Infrared physics and technology . 2019,第期

机译：基于近红外光谱的油页岩从小波变换和最小二乘支持向量机的检测
3. Detection of adulteration by hydrolysed leather protein in infant formula based on least squares support vector machine and near-infrared spectroscopy [J] . Liu Yisen, Zhou Songbin, Han Wei, Journal of food and nutrition research . 2017,第3期

机译：基于最小二乘支持向量机和近红外光谱的婴儿配方食品中水解皮革蛋白掺假检测
4. Study on Detection Technology of Milk Powder Based on Support Vector Machines and Near Infrared Spectroscopy [C] . Jingzhu Wu, Shiping Zhu, Yun Xu, IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture . 2008

机译：基于支持向量机和近红外光谱法的奶粉检测技术研究
5. Efficacy Testing of Food Industry Cleaning Agents on the Removal of Engineered Nanoparticles from the Skins of Grape Tomatoes (Solanum lycopersicum) Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR FTIR) and Support Vector Machine (SVM) Learning [D] . Wood, Elizabeth Alene 2018

机译：使用衰减全反射傅立叶变换红外光谱（ATR FTIR）和支持向量机（SVM）学习对食品工业清洁剂去除葡萄西红柿（Solanum lycopersicum）皮肤中工程纳米颗粒的功效测试
6. Detection of Glutamic Acid in Oilseed Rape Leaves Using Near Infrared Spectroscopy and the Least Squares-Support Vector Machine [O] . Yidan Bao, Wenwen Kong, Fei Liu, 2017

机译：近红外光谱和最小二乘支持向量机检测油菜叶片中的谷氨酸
7. Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm [O] . Yushuai Yuan, Li Yang, Rui Gao, 2020

机译：基于傅里叶变换红外光谱和支持向量机算法的筛选慢性肾功能衰竭的探索性研究

STUDY ON DETECTION TECHNOLOGY OF MILK POWDER BASED ON SUPPORT VECTOR MACHINES AND NEAR INFRARED SPECTROSCOPY

摘要

著录项

相似文献

相关主题

期刊订阅