无监督特征选择在羊绒和羊毛纤维识别中的应用

IF 2.8 3区工程技术 Q1 MATERIALS SCIENCE, TEXTILES

Journal of Natural Fibers Pub Date : 2024-02-11 DOI:10.1080/15440478.2024.2311306

Yaolin Zhu, Xingze Wang, Meihua Gu, Gang Hu, Wenya Li

引用次数: 0

摘要

合适的特征是识别羊绒和羊毛纤维的关键，而特征选择是分类的重要步骤。现有的有监督特征选择方法需要考虑...

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

Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition

Suitable features are the key to identifying cashmere and wool fibers, and feature selection is an important step in classification. Existing supervised feature selection methods need to consider t...

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

Journal of Natural Fibers MATERIALS SCIENCE, TEXTILES-

CiteScore

6.20

自引率

22.90%

发文量

419

审稿时长

>12 weeks

期刊介绍： The Journal of Natural Fibers presents new achievements in basic research and the development of multi-purpose applications that further the economical and ecological production of hard fibers, protein fibers, seed, bast, leaf, and cellulosic fibers. An international panel of academics, researchers, and practitioners examines new processing methods and techniques, new trends and economic aspects of processing natural raw materials, sustainable agriculture and eco-friendly techniques that address environmental concerns, the efficient assessment of the life cycle of natural fibers-based products, and the natural reclamation of polluted land.