基于间隔的稀疏集合多类分类算法用于太赫兹数据的分类算法

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Updated: Jun 30, 2025

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Chengyong Zheng1, Xiaowen Zha1, Shengjie Cai2

  • 1School of Mathematics and Computational Science, Wuyi University, Jiangmen, 529000, China.

Heliyon
|March 21, 2024
PubMed
概括

这项研究引入了基于间隔的稀疏集合多类分类器 (ISEMCC) 对于特拉赫兹时域光谱 (THz-TDS) 数据. ISEMCC通过适应性选择重要的光谱间隔,提高食品和药物识别的准确性.

关键词:
分类 分类 分类 分类.交叉是什么 交叉是什么时间间隔 时间间隔一个稀疏的合奏.在特拉赫兹频谱中.

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