Identification of GMOs by terahertz spectroscopy and ALAP鈥揝VM

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• 作者：Jianjun Liu (1)
  Zhi Li (1) (2)
  Fangrong Hu (3)
  Tao Chen (3)
  Yong Du (4) (5)
  Haitao Xin (5)
  
  1. School of Mechano-Electronic Engineering ; Xidian University ; Xi鈥檃n聽 ; 710071 ; Shanxi ; People鈥檚 Republic of China
  2. Guilin University of Aerospace Technology ; Guilin聽 ; 541004 ; Guangxi ; People鈥檚 Republic of China
  3. School of Electronic Engineering and Automation ; Guilin University of Electronic Technology ; Guilin聽 ; 541004 ; Guangxi ; People鈥檚 Republic of China
  4. Shool of Information Engineering College ; Jimei University ; Fujian聽 ; 361005 ; Xiamen ; People鈥檚 Republic of China
  5. Xiamen University ; Fujian聽 ; 361005 ; Xiamen ; People鈥檚 Republic of China
  
• 关键词：GMOs ; Terahertz ; SVM ; Affinity propagation ; Cotton
• 刊名：Optical and Quantum Electronics
• 出版年：2015
• 出版时间：March 2015
• 年：2015
• 卷：47
• 期：3
• 页码：685-695
• 全文大小：1,060 KB
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• 刊物主题：Optics, Optoelectronics, Plasmonics and Optical Devices; Electrical Engineering; Characterization and Evaluation of Materials; Computer Communication Networks;
• 出版者：Springer US
• ISSN：1572-817X

文摘

An approach for identification of terahertz (THz) spectral of genetically modified organisms (GMOs) based on active learning affinity propagation clustering algorithm (ALAP) combined with support vector machine (SVM) in this paper, and THz transmittance spectra of some typical genetically modified (GM) cotton samples are investigated to prove its feasibility. Firstly, principal component analysis is applied to extract features of the spectrum data. Secondly, instead of the original spectrum data, the feature signals are fed into the ALAP鈥揝VM pattern recognition, where an improved active learning ALAP is applied to SVM. The experimental results show that THz spectroscopy combined with ALAP鈥揝VM can be effectively utilized for identification of different GM cottons. The proposed approach provides a new effective method for detection and identification of different GMOs by using THz spectroscopy.