结合迁移学习和深度卷积神经网络的便携式激光诱导击穿光谱技术对铜精矿进行快速分类

IF 3.3 2区物理与天体物理 Q2 OPTICS

Chinese Optics Letters Pub Date : 2023-01-01 DOI:10.3788/col202321.043001

Haochen Li, Tianyuan Liu, Yuchao Fu, Wanxiang Li, Meng Zhang, Xi Yang, Di Song, Jiaqi Wang, You Wang, Mei-Ling Huang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Rapid classification of copper concentrate by portable laser-induced breakdown spectroscopy combined with transfer learning and deep convolutional neural network

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Chinese Optics Letters 物理-光学

CiteScore

5.60

自引率

20.00%

发文量

180

审稿时长

2.3 months

期刊介绍： Chinese Optics Letters (COL) is an international journal aimed at the rapid dissemination of latest, important discoveries and inventions in all branches of optical science and technology. It is considered to be one of the most important journals in optics in China. It is collected by The Optical Society (OSA) Publishing Digital Library and also indexed by Science Citation Index (SCI), Engineering Index (EI), etc. COL is distinguished by its short review period (~30 days) and publication period (~100 days). With its debut in January 2003, COL is published monthly by Chinese Laser Press, and distributed by OSA outside of Chinese Mainland.