Metal Identification Based on Laser-induced Breakdown Spectroscopy and BP Neural Network
文献类型:会议论文
作者 | Shi YZ(史友振); Sun LX(孙兰香)![]() |
出版日期 | 2016 |
会议名称 | International Conference on Electrical Engineering and Automation (ICEEA) |
会议日期 | December 18-19, 2016 |
会议地点 | Xiamen, China |
关键词 | LIBS Scrap metal sorting The BP neural network |
通讯作者 | Shi YZ(史友振) |
中文摘要 | For sorting scrap metal materials, the ultimate goal is to separate some scrap metal from other scrap metal materials completely. In this paper, Laser-Induced Breakdown Spectroscopy (LIBS) is used to take sample data from cooked aluminum, aluminum, magnesium, stainless steel, iron, copper, and zinc 7 metal samples seven scrap metal samplings with principal component analysis methods of data reduction. And BP neural network is used to the classification of aluminum and non-aluminum metals, Experiment results show that the classification accuracy up to 93.40%. These results provide a method for sorting scrap metal and reference data with BP neural network and LIBS technique, which make online scrap metal sorting get better result. |
收录类别 | CPCI(ISTP) |
产权排序 | 2 |
会议录 | 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATION (ICEEA 2016)
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会议录出版者 | DESTECH PUBLICATIONS, INC |
会议录出版地 | LANCASTER |
语种 | 英语 |
ISSN号 | 2475-885X |
ISBN号 | 978-1-60595-407-3 |
WOS记录号 | WOS:000406674000059 |
源URL | [http://ir.sia.cn/handle/173321/20855] ![]() |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
作者单位 | 1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, Shenyang 110016, China 2.Shenyang Jianzhu University, Liaoning, Shenyang 110168, China |
推荐引用方式 GB/T 7714 | Shi YZ,Sun LX,Zhang, Ying. Metal Identification Based on Laser-induced Breakdown Spectroscopy and BP Neural Network[C]. 见:International Conference on Electrical Engineering and Automation (ICEEA). Xiamen, China. December 18-19, 2016. |
入库方式: OAI收割
来源:沈阳自动化研究所
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