基于机器学习算法的细旦聚酯纤维结构性能及直径预测

IF 1.5 4区 工程技术 Q2 MATERIALS SCIENCE, TEXTILES
Ruimin Xie, Yuxiang Liu, Xiwen He, Yumei Zhang, Huaping Wang
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引用次数: 0

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Structural properties and diameter prediction of fine denier polyester fiber based on machine learning algorithms
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来源期刊
Journal of the Textile Institute
Journal of the Textile Institute 工程技术-材料科学:纺织
CiteScore
4.20
自引率
5.90%
发文量
149
审稿时长
1.0 months
期刊介绍: The Journal of The Textile Institute welcomes papers concerning research and innovation, reflecting the professional interests of the Textile Institute in science, engineering, economics, management and design related to the textile industry and the use of fibres in consumer and engineering applications. Papers may encompass anything in the range of textile activities, from fibre production through textile processes and machines, to the design, marketing and use of products. Papers may also report fundamental theoretical or experimental investigations, including materials science topics in nanotechnology and smart materials, practical or commercial industrial studies and may relate to technical, economic, aesthetic, social or historical aspects of textiles and the textile industry. All published research articles in The Journal of The Textile Institute have undergone rigorous peer review, based on initial editor screening and anonymized refereeing by two expert referees.
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