Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties

作者: Mustafa E. Üreyen , Pelin Gürkan

DOI: 10.1007/S12221-008-0014-4

关键词:

摘要: … In this study yarn tensile properties were predicted by using … more powerful in predicting yarn tensile properties. Statistical … of variables on yarn tensile properties was also investigated …

参考文章(9)
Hy Rao, Valluru Rao, C++ Neural Networks and Fuzzy Logic ,(1993)
R. Chattopadhyay, A. Guha, ARTIFICIAL NEURAL NETWORKS: APPLICATIONS TO TEXTILES Textile Progress. ,vol. 35, pp. 1- 46 ,(2004) , 10.1080/00405160408688961
A. Majumdar, P. K. Majumdar, B. Sarkar, Application of an adaptive neuro-fuzzy system for the prediction of cotton yarn strength from HVI fibre properties Journal of The Textile Institute. ,vol. 96, pp. 55- 60 ,(2005) , 10.1533/JOTI.2004.0062
Yehia E. El Mogahzy, Roy Broughton, W.K. Lynch, A Statistical Approach for Determining the Technological Value of Cotton Using HVI Fiber Properties Textile Research Journal. ,vol. 60, pp. 495- 500 ,(1990) , 10.1177/004051759006000901
Luo Cheng, David L. Adams, Yarn Strength Prediction Using Neural Networks Part I: Fiber Properties and Yarn Strength Relationship Textile Research Journal. ,vol. 65, pp. 495- 500 ,(1995) , 10.1177/004051759506500901
Mustafa E. Üreyen, Hüseyin Kadoglu, Regressional Estimation of Ring Cotton Yarn Properties from HVI Fiber Properties Textile Research Journal. ,vol. 76, pp. 360- 366 ,(2006) , 10.1177/0040517506062262
S. Sette, L. Boullart, L. Van Langenhove, P. Kiekens, Optimizing the Fiber-to-Yarn Production Process with a Combined Neural Network/Genetic Algorithm Approach Textile Research Journal. ,vol. 67, pp. 84- 92 ,(1997) , 10.1177/004051759706700203
F. Pynckels, P. Kiekens, S. Sette, L. Van Langenhove, K. Impe, The use of neural nets to simulate the spinning process. Journal of The Textile Institute. ,vol. 88, pp. 440- 448 ,(1997) , 10.1080/00405000.1997.11090895