A Grey Wolf Optimizer-based neural network coupled with response surface method for modeling the strength of siro-spun yarn in spinning mills
The tenacity of spun yarns is related to many process parameters and fiber properties.
Different types of predictive models have been developed to predict the spun yarns tensile …
Different types of predictive models have been developed to predict the spun yarns tensile …
A monarch butterfly optimization-based neural network simulator for prediction of siro-spun yarn tenacity
P Soltani, E Hadavandi - Soft Computing, 2019 - Springer
Yarn tenacity directly affects the winding and knitting efficiency as well as warp and weft
breakages during weaving process and therefore, is considered as the most important …
breakages during weaving process and therefore, is considered as the most important …
基于分段聚合和卡尔曼滤波的纱线直径时间序列预测
王延蒙， 秦鹏， 张文国 - 现代纺织技术, 2022 - journal.zjtextile.com.cn
为准确预测纱线直径, 提高纱线质量预测的准确度, 首先对纱线直径数据采样原理进行分析,
对纱线样本片段分段聚合, 利用聚合后的纱线直径值建立时间序列模型状态方程 …
对纱线样本片段分段聚合, 利用聚合后的纱线直径值建立时间序列模型状态方程 …
Machine learning-based approach for modelling elastic modulus of woven fabrics
There has been a shift of focus from aesthetic properties to mechanical and functional
properties of textiles with the recent developments in technical textiles and wearable …
properties of textiles with the recent developments in technical textiles and wearable …
[PDF][PDF] Product quality analysis using support vector machines
A Nachev, B Stoyanov - Information Models and Analyses, 2012 - foibg.com
This paper presents an exploratory study of the effectiveness of support vector machines in
the prediction of a product quality based on its characteristics. The study answers the …
the prediction of a product quality based on its characteristics. The study answers the …
[PDF][PDF] Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness.
Cotton yarn is often spun from a mixture of distinct cotton bales. Although many studies have
presented efforts to predict hairiness and strength from cotton properties, the heterogeneity …
presented efforts to predict hairiness and strength from cotton properties, the heterogeneity …
A new quality control method for cotton spinning
J Shao, C Ma - 2019 Chinese Control Conference (CCC), 2019 - ieeexplore.ieee.org
To solve the cotton yarn quality characteristic value fluctuation, we proposed a quality
control method based on data-driven in the cotton spinning, and analyzed the uncertainty …
control method based on data-driven in the cotton spinning, and analyzed the uncertainty …
基于海量数据的纺纱质量异常因素识别方法
邵景峰， 贺兴时， 王进富， 白晓波， 雷霞… - 计算机集成制造系统, 2015 - cims-journal.cn
为识别纺纱过程质量特征值的异常波动, 对纺纱质量特征值的波动机理进行了理论分析.
基于海量纺纱数据设计了一种Dk-means 聚类算法, 进而提取最优纤维属性变量(断裂伸长) …
基于海量纺纱数据设计了一种Dk-means 聚类算法, 进而提取最优纤维属性变量(断裂伸长) …