Journal Article10.1007/s00340-023-08074-z
A comparative study of classification models for laser-induced breakdown spectroscopy of Astragalus origin
2
TL;DR: The results show that the classification effect of GWO-RF-ELM is the best, and its macro-precision, macro-recall and macro-F1 score were 92%, 100%, 92.04% and 95.86%, respectively, which provides an effective method for the identification of Astragalus.
read more
About: This article is published in Applied Physics B. The article was published on 14 Jul 2023.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
New Revolution for Quality Control of TCM in Industry 4.0: Focus on Artificial Intelligence and Bioinformatics
Yaolei Li,Jing Fan,Xian‐Long Cheng,Hongyu Jin,Ying Wang,Feng Wei,F. F. An,Shuangcheng Ma +7 more
3
References
Problem formulations and solvers in linear SVM: a review
TL;DR: A review on evolution of linear support vector machine classification, its solvers, strategies to improve solvers), experimental results, current challenges and research directions is presented.
509
Development in the application of laser-induced breakdown spectroscopy in recent years: A review
Lianbo Guo,Deng Zhang,Lanxiang Sun,Shunchun Yao,Lei Zhang,Zhenzhen Wang,Qian-Qian Wang,Hongbin Ding,Yuan Lu,Zongyu Hou,Zhe Wang +10 more
TL;DR: Li et al. as mentioned in this paper summarized the research status and latest progress of main research groups in coal, metallurgy, and water, and suggested to further promote LIBS applications.
162
Classification of Chinese Herbal Medicine by Laser-Induced Breakdown Spectroscopy with Principal Component Analysis and Artificial Neural Network
TL;DR: In this paper, three types of Chinese herbal medicine, the roots of Anansi herbs, are discussed. But they are not discussed in detail, and only three types are discussed in this paper.
75
Enhanced leadership-inspired grey wolf optimizer for global optimization problems
Shubham Gupta,Kusum Deep +1 more
TL;DR: The proposed GLF–GWO algorithm enhances the search efficiency of leading hunters in GWO and provides better guidance to accelerate the search process of GWO.
68
A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning
TL;DR: The basic principle of LIBS and machineLearning algorithms are introduced, the research situation and progress of the application of machine learning algorithms to LIBS are reviewed, and the problems and challenges of its application are put forward.
62