| SVM方法在淀粉分类问题中的应用 |
| |
| 引用本文： | 孙晓荣,刘翠玲,吴静珠,董秀丽,韩明璐.SVM方法在淀粉分类问题中的应用[J].食品工业科技,2011(11):431-433. |
| |
| 作者姓名： | 孙晓荣 刘翠玲 吴静珠 董秀丽 韩明璐 |
| |
| 作者单位： | 北京工商大学计算机与信息工程学院,北京,100048 |
| |
| 基金项目： | 北京市自然科学基金(4073031) |
| |
| 摘 要： | 采用不同品牌的马铃薯淀粉和玉米淀粉共计49个样品,运用VERTEX70进行光谱扫描,在不同光谱范围内,通过对原始光谱进行不同的预处理,得到淀粉样品的近红外光谱数据。在Matlab6.5仿真环境下,采用SVM工具包实现对样品数据的训练和预测,选取不同的核函数和惩罚因子C,可以准确地将淀粉进行分类。实验结果表明,利用近红外技术结合支持向量机对淀粉类别进行判别是可行的。
|
| 关 键 词： | 支持向量机 淀粉 近红外光谱 |
Application of SVM method in starch classification |
| |
| SUN Xiao-rong,LIU Cui-ling,WU Jing-zhu,DONG Xiu-li,HAN Ming-lu.Application of SVM method in starch classification[J].Science and Technology of Food Industry,2011(11):431-433. |
| |
| Authors: | SUN Xiao-rong LIU Cui-ling WU Jing-zhu DONG Xiu-li HAN Ming-lu |
| |
| Affiliation: | SUN Xiao-rong,LIU Cui-ling,WU Jing-zhu,DONG Xiu-li,HAN Ming-lu(College of Computer Science and Information Engineering,Beijing Technology and Business University,Beijing 100048,China) |
| |
| Abstract: | The near-infrared spectral(NIR)data of starch in the different spectral range which was processed from the original spectra based on the 49 different brands potato and com starch by using of VERTEX70 were obtained.The SVM tool kit of Matlab6.5 was used to finish the training of sample data and forecasts.By selecting a different kernel function and penalty factor C,starch can be accurately classified.The results showed that it was feasible that using near infrared technology combined with support vector mach... |
| |
| Keywords: | SVM starch NIR |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
