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Erschienen in: Optical and Quantum Electronics 2/2015

01.02.2015

A THz spectroscopy nondestructive identification method for transgenic cotton seed based on GA-SVM

verfasst von: Jianjun Liu, Zhi Li, Fangrong Hu, Tao Chen, Aijun Zhu

Erschienen in: Optical and Quantum Electronics | Ausgabe 2/2015

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Abstract

The purpose of this paper is to construct an identification model that can discriminate different transgenic cotton seeds with similar characteristics based on terahertz (THz) spectroscopy. An improved support vector machine (SVM) which using genetic algorithm (GA) to optimize parameters is proposed in this paper. Principal Component Analysis is applied to extract relevant features from original spectrum information and eliminate the anomalous samples. Instead of original spectral information, the feature spectrum is selected to be fed into the model of GA-SVM, where an improved SVM method to identify those samples. The results demonstrate that the GA-SVM method can effectively identify the distinct transgenic cottons, and THz spectroscopy can provide a nondestructive, rapid and reliable method to distinguish different transgenic cottons.

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Metadaten
Titel
A THz spectroscopy nondestructive identification method for transgenic cotton seed based on GA-SVM
verfasst von
Jianjun Liu
Zhi Li
Fangrong Hu
Tao Chen
Aijun Zhu
Publikationsdatum
01.02.2015
Verlag
Springer US
Erschienen in
Optical and Quantum Electronics / Ausgabe 2/2015
Print ISSN: 0306-8919
Elektronische ISSN: 1572-817X
DOI
https://doi.org/10.1007/s11082-014-9914-2

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