Selection of spectral data for classification of steels using laser-induced breakdown spectroscopy
文献类型：期刊论文
| 作者 | Kong HY(孔海洋) ; Sun LX(孙兰香); Hu JT(胡静涛); Xin Y(辛勇); Cong ZB(丛智博)
|
| 刊名 | Plasma Science and Technology
 |
| 出版日期 | 2015 |
| 卷号 | 17期号:11页码:964-970 |
| 关键词 | laser-induced breakdown spectroscopy classification of steel samples principal component analysis artificial neural networks selection of spectral data |
| ISSN号 | 1009-0630 |
| 产权排序 | 1 |
| 通讯作者 | 孙兰香 |
| 中文摘要 | Principal component analysis (PCA) combined with artificial neural networks was used to classify the spectra of 27 steel samples acquired using laser-induced breakdown spectroscopy. Three methods of spectral data selection, selecting all the peak lines of the spectra, selecting intensive spectral partitions and the whole spectra, were utilized to compare the influence of different inputs of PCA on the classification of steels. Three intensive partitions were selected based on experience and prior knowledge to compare the classification, as the partitions can obtain the best results compared to all peak lines and the whole spectra. We also used two test data sets, mean spectra after being averaged and raw spectra without any pretreatment, to verify the results of the classification. The results of this comprehensive comparison show that a back propagation network trained using the principal components of appropriate, carefully selected spectral partitions can obtain the best results. A perfect result with 100% classification accuracy can be achieved using the intensive spectral partitions ranging of 357-367 nm. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Physics, Fluids & Plasmas |
| 研究领域[WOS] | Physics |
| 关键词[WOS] | ARTIFICIAL NEURAL-NETWORKS ; MULTIVARIATE-ANALYSIS ; QUANTITATIVE-ANALYSIS ; IDENTIFICATION ; LIBS ; CHINA ; MODEL |
| 收录类别 | SCI ; EI ; CSCD |
| 语种 | 英语 |
| WOS记录号 | WOS:000367515100014 |
| 源URL | [http://ir.sia.cn/handle/173321/17293]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Kong HY,Sun LX,Hu JT,et al. Selection of spectral data for classification of steels using laser-induced breakdown spectroscopy[J]. Plasma Science and Technology,2015,17(11):964-970. |
| APA | Kong HY,Sun LX,Hu JT,Xin Y,&Cong ZB.(2015).Selection of spectral data for classification of steels using laser-induced breakdown spectroscopy.Plasma Science and Technology,17(11),964-970. |
| MLA | Kong HY,et al."Selection of spectral data for classification of steels using laser-induced breakdown spectroscopy".Plasma Science and Technology 17.11(2015):964-970. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。