Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm

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

Journal of Natural Fibers Pub Date : 2024-08-09 DOI:10.1080/15440478.2024.2389161

Junyang Wang, Limin Zhang, Xiang Liu, Jin-chi Zhang, Wanxin Wang, Hong Xu

引用次数: 0

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用遗传算法优化的 BP 神经网络模型预测棉纤维的机械特性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.