A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM
A method is proposed for rubber identification based on terahertz time-domain spectroscopy (THz-TDS) and support vector machine (SVM). In order to improve the accuracy, the cuckoo search algorithm (CS) is used to optimize the penalty factor C and kernel function parameter g of SVM. The SVM model opt...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Condensed Matter Physics |
| Online Access: | http://dx.doi.org/10.1155/2018/1618750 |
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| author | Xianhua Yin Wei Mo Qiang Wang Binyi Qin |
| author_facet | Xianhua Yin Wei Mo Qiang Wang Binyi Qin |
| author_sort | Xianhua Yin |
| collection | DOAJ |
| description | A method is proposed for rubber identification based on terahertz time-domain spectroscopy (THz-TDS) and support vector machine (SVM). In order to improve the accuracy, the cuckoo search algorithm (CS) is used to optimize the penalty factor C and kernel function parameter g of SVM. The SVM model optimized by the cuckoo search algorithm is abbreviated as CS-SVM. Principal component analysis (PCA) is applied to decrease the dimension of the spectral data. The top ten principal component factors, whose accumulated variance contribution rate reaches 93.93%, are extracted from the original spectra data and then are applied to CS-SVM. The identification rate of testing sets for CS-SVM is 100%, which is significantly higher than 96.67% identification rate of testing sets for PSO-SVM and Grid search. Experimental results show that CS-SVM can accomplish nondestructive identification for different rubber. This method lays a theoretical foundation for the application of terahertz spectroscopy in rubber classification and identification. |
| format | Article |
| id | doaj-art-23e73529387f44f3b5995368a49f0c6e |
| institution | Kabale University |
| issn | 1687-8108 1687-8124 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Condensed Matter Physics |
| spelling | doaj-art-23e73529387f44f3b5995368a49f0c6e2025-02-03T01:24:24ZengWileyAdvances in Condensed Matter Physics1687-81081687-81242018-01-01201810.1155/2018/16187501618750A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVMXianhua Yin0Wei Mo1Qiang Wang2Binyi Qin3School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Electronics and Communication Engineering, Yulin Normal University, Yulin 537000, ChinaA method is proposed for rubber identification based on terahertz time-domain spectroscopy (THz-TDS) and support vector machine (SVM). In order to improve the accuracy, the cuckoo search algorithm (CS) is used to optimize the penalty factor C and kernel function parameter g of SVM. The SVM model optimized by the cuckoo search algorithm is abbreviated as CS-SVM. Principal component analysis (PCA) is applied to decrease the dimension of the spectral data. The top ten principal component factors, whose accumulated variance contribution rate reaches 93.93%, are extracted from the original spectra data and then are applied to CS-SVM. The identification rate of testing sets for CS-SVM is 100%, which is significantly higher than 96.67% identification rate of testing sets for PSO-SVM and Grid search. Experimental results show that CS-SVM can accomplish nondestructive identification for different rubber. This method lays a theoretical foundation for the application of terahertz spectroscopy in rubber classification and identification.http://dx.doi.org/10.1155/2018/1618750 |
| spellingShingle | Xianhua Yin Wei Mo Qiang Wang Binyi Qin A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM Advances in Condensed Matter Physics |
| title | A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM |
| title_full | A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM |
| title_fullStr | A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM |
| title_full_unstemmed | A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM |
| title_short | A Terahertz Spectroscopy Nondestructive Identification Method for Rubber Based on CS-SVM |
| title_sort | terahertz spectroscopy nondestructive identification method for rubber based on cs svm |
| url | http://dx.doi.org/10.1155/2018/1618750 |
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