Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Study on Near Infrared Spectroscopy of Transgenic Soybean Identification Based on Principal Component Analysis and Neural Network | |
Wu J.; Huang F. R.; Huang C. H.; Zhang J.; Chen X. D. | |
2013 | |
发表期刊 | Spectroscopy and Spectral Analysis |
ISSN | ISBN/1000-0593 |
卷号 | 33期号:6 |
摘要 | In order to explore a rapid identification method for transgenic soybeans, non-transgenic and transgenic soybeans were tested as the experimental samples via near infrared spectroscopy (NIR) and principal component analysis (PGA) combined with back propagation artificial neural network (BP-ANN) model. The spectrum data was collected after NIRS scanning the samples, and then analyzed by PCA plus BP-ANN model. The accumulative reliabilities of the six components were 99. 03% through the PCA. Then BP-ANN model was used to further test these six components and a three-layer BP-ANN model was developed. The final result achieved a 100% recognition rate of all 22 test samples respectively. In conclusion, the measure of NIRS and PCA combined with BP-ANN model has proved to be a rapid and accurate method to detect transgenic soybean nondestructively. |
收录类别 | SCI |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/40870 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Wu J.,Huang F. R.,Huang C. H.,et al. Study on Near Infrared Spectroscopy of Transgenic Soybean Identification Based on Principal Component Analysis and Neural Network[J]. Spectroscopy and Spectral Analysis,2013,33(6). |
APA | Wu J.,Huang F. R.,Huang C. H.,Zhang J.,&Chen X. D..(2013).Study on Near Infrared Spectroscopy of Transgenic Soybean Identification Based on Principal Component Analysis and Neural Network.Spectroscopy and Spectral Analysis,33(6). |
MLA | Wu J.,et al."Study on Near Infrared Spectroscopy of Transgenic Soybean Identification Based on Principal Component Analysis and Neural Network".Spectroscopy and Spectral Analysis 33.6(2013). |
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近红外光谱结合主成分分析和BP神经网络的(261KB) | 开放获取 | CC BY-NC-ND | 浏览 下载 |
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