TY - JOUR
T1 - Classification of plastics with laser-induced breakdown spectroscopy based on principal component analysis and artificial neural network model
AU - Wang, Qian Qian
AU - Huang, Zhi Wen
AU - Liu, Kai
AU - Li, Wen Jiang
AU - Yan, Ji Xiang
PY - 2012/12
Y1 - 2012/12
N2 - The classification of seven kinds of plastic(ABS, PET, PP, PS, PVC, HDPE and PMMA) with the laser-induced breakdown spectroscopy based on artificial neural network model was investigated in the present paper. One hundred seventy LIBS spectra for each type of plastic were collected. Firstly, all 1 190 plastics LIBS spectra were studied with principal component analysis. The first five principal components (PC) totally explain 78.4% of the original spectrum information. Therefore, the scores of five PCs of 130 LIBS spectra for each kind of plastic were chosen as the training set to build a back-propagation artificial network model. And the other 40 LIBS spectra of each sample were used as the testing set for the trained model. The classification accuracy was 97.5%. Experimental results demonstrate that plastics can be classified by using principal component analysis and artificial neural network (BP) method.
AB - The classification of seven kinds of plastic(ABS, PET, PP, PS, PVC, HDPE and PMMA) with the laser-induced breakdown spectroscopy based on artificial neural network model was investigated in the present paper. One hundred seventy LIBS spectra for each type of plastic were collected. Firstly, all 1 190 plastics LIBS spectra were studied with principal component analysis. The first five principal components (PC) totally explain 78.4% of the original spectrum information. Therefore, the scores of five PCs of 130 LIBS spectra for each kind of plastic were chosen as the training set to build a back-propagation artificial network model. And the other 40 LIBS spectra of each sample were used as the testing set for the trained model. The classification accuracy was 97.5%. Experimental results demonstrate that plastics can be classified by using principal component analysis and artificial neural network (BP) method.
KW - Artificial neural network(BP)
KW - Laser-induced breakdown spectroscopy (LIBS)
KW - Material classification
KW - Plastics
KW - Principal component analysis(PCA)
UR - http://www.scopus.com/inward/record.url?scp=84871037234&partnerID=8YFLogxK
U2 - 10.3964/j.issn.1000-0593(2012)12-3179-04
DO - 10.3964/j.issn.1000-0593(2012)12-3179-04
M3 - Article
AN - SCOPUS:84871037234
SN - 1000-0593
VL - 32
SP - 3179
EP - 3182
JO - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
JF - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
IS - 12
ER -