Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on the Basis of the Characteristics of Feeding Streams

Jackowska-Strumu??o Lidia; Cyniak Danuta; Czekalski Jerzy; Jackowski Tadeusz

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Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on the Basis of the Characteristics of Feeding Streams

机译：基于进料流特性预测棉涤混纺纱性能的纺丝过程神经模型

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The subject of our research were yarns manufactured from cotton-polyester blended slivers, as well as pure cotton and polyester slivers with the use of a BD 200S rotor spinning frame. Partial models of the spinning process were developed for selected, ess

机译：我们的研究主题是由棉－聚酯混纺纱条以及BD 200S转杯纺纱机制成的纯棉和涤纶纱条制成的纱线。开发了部分纺纱工艺模型，以供选择

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《Fibres & textiles in Eastern Europe》 |2008年第1期|共9页
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Jackowska-Strumu??o Lidia; Cyniak Danuta; Czekalski Jerzy; Jackowski Tadeusz;
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中图分类纺织工业、染整工业;
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1. Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on the Basis of the Characteristics of Feeding Streams [J] . Lidia Jackowska-Strumillo, Danuta Cyniak, Jerzy Czekalski, Fibres & textiles in Eastern Europe . 2008,第1期

机译：基于进料流特性预测棉涤混纺纱性能的纺丝过程神经模型
2. Neural Model of the Spinning Process for Predicting Selected Properties of Flax/Cotton Yarn Blends [J] . L. Jackowska-Strumi??o, T. Jackowski, D. Cyniak, Fibres & textiles in Eastern Europe . 2004,第4期

机译：纺丝过程的神经模型，用于预测亚麻/棉纱混合物的选定性能
3. Evaluation of Processing Performance and Properties of 100% Cotton and Cotton-Polyester Blended Ring Yarns [J] . Haque MM, Maruf NH Journal of Textile Science & Engineering . 2016,第2期

机译：100％棉及棉涤混纺环锭纱加工性能及性能评价
4. Comparison of the properties of akund/cotton blended yarn produced by compact spinning with pure cotton yarn [C] . Xiao Jiang, Qin Wang, Longdi Cheng, International Conference on Advanced Design and Manufacturing Engineering . 2012

机译：用纯棉纱线纺纱生产的Akund /棉混纺纱的性能比较
5. Neural network-based crop growth model to predict processing tomato yield on a site-specific basis using remotely sensed data. [D] . Koller, Michal. 2003

机译：基于神经网络的作物生长模型可使用遥感数据在特定地点预测番茄的加工产量。
6. Biocompatibility and magnetic resonance imaging characteristics of carbon nanotube yarn neural electrodes in a rat model [O] . Yi Guo, Wanru Duan, Chao Ma, 2015

机译：碳纳米管纱线神经电极在大鼠模型中的生物相容性和磁共振成像特性
7. Factors affecting properties of yarn produced by friction spinning machine. Part 2 : Effect of fiber feeding channel and position on spun yarn properties. [O] . Mamoru Shimakura, Hisaaki Kato 1991

机译：影响摩擦纺纱机械性能性能的因素。第2部分：纤维饲料通道的影响和纺纱纱线性能的影响。

Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on the Basis of the Characteristics of Feeding Streams

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