DocumentCode :
2532344
Title :
Predicting the End Breakage Rates of Ring Spinning Polyester Cotton Yarn
Author :
Bo, Zhao
Author_Institution :
Coll. of Textiles, Zhongyuan Univ. of Technol., Zhengzhou, China
fYear :
2011
fDate :
19-22 Oct. 2011
Firstpage :
291
Lastpage :
294
Abstract :
In this research, three layers of BP neural network model were used to model the end breakage rate of ring spun polyester/cotton yarn. Of the sixteen group samples, twelve were chosen as the training set at random, while the rest were the testing set. The experimental results and the corresponding analysis show that the BP neural network model is an efficient theory for the quality prediction and has wide prospect in the application of ring spun polyester/cotton yarn production system. This method improves obviously the efficiency and quality of production.
Keywords :
backpropagation; neural nets; production engineering computing; quality control; spinning (textiles); yarn; BP neural network model; backpropagation; end breakage rates prediction; production quality prediction; ring spinning polyester cotton yarn; yarn production system; Artificial neural networks; Biological neural networks; Cotton; Mathematical model; Neurons; Spinning; Yarn; Cring spun; artificial neural network.; cotton; end breakage rate; polyester; yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1798-7
Type :
conf
DOI :
10.1109/IWCFTA.2011.93
Filename :
6093539
Link To Document :
بازگشت