Classification of plastics with laser-induced breakdown spectroscopy based on principal component analysis and artificial neural network model

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 32, Issue 12, 2012, Pages 3179-3182

  Wang, Qian Qian ^a   Huang, Zhi Wen ^a   Liu, Kai ^a   Li, Wen Jiang ^a   Yan, Ji Xiang ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Artificial neural network(BP); Laser induced breakdown spectroscopy (LIBS); Material classification; Plastics; Principal component analysis(PCA)

Indexed keywords

ARTIFICIAL NETWORKS; ARTIFICIAL NEURAL NETWORK MODELS; CLASSIFICATION ACCURACY; MATERIAL CLASSIFICATION; PRINCIPAL COMPONENT; SPECTRUM INFORMATION; TRAINING SETS;

ABS RESINS; ATOMIC EMISSION SPECTROSCOPY; ELASTOMERS; LASERS; MICROCOMPUTERS; NEURAL NETWORKS; PLASTICS; POLYVINYL CHLORIDES; PRINCIPAL COMPONENT ANALYSIS;

POLYETHYLENE TEREPHTHALATES;

EID: 84871037234     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2012)12-3179-04     Document Type: Article

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