An interactive tool for yarn strength prediction using support vector regression-Reference-Cited by-同舟云学术

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An interactive tool for yarn strength prediction using support vector regression

Published:2010-02 Issue: Volume: Page:
ISSN:
Container-title:2010 Second International Conference on Machine Learning and Computing
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Author:

Selvanayaki M,Vijaya M S,Jamuna K S,Karpagavalli S

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5459477/5460689/05460714.pdf?arnumber=5460714

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning-based Approach for Modelling Elastic Modulus of Woven Fabrics;2020 Moratuwa Engineering Research Conference (MERCon);2020-07

2. A monarch butterfly optimization-based neural network simulator for prediction of siro-spun yarn tenacity;Soft Computing;2018-11-15

3. A Grey Wolf Optimizer-based neural network coupled with response surface method for modeling the strength of siro-spun yarn in spinning mills;Applied Soft Computing;2018-11

4. An Intelligent Control Method for Influencing Factors of the Spinning Quality and Its Appliaction;2017 2nd International Conference on Cybernetics, Robotics and Control (CRC);2017-07

5. Study on Prediction Method of Quality Uncertainty in the Textile Processing Based on Data;Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques;2015

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