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

Fibers and Polymers

Volumn 9, Issue 1, 2008, Pages 87-91

  Üreyen, Mustafa E ^a   Gürkan, Pelin ^b  

^a ANADOLU UNIVERSITY   (Turkey)

^b EGE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Breaking elongation; Linear regression; Ring spun yarn; Yarn tenacity

Indexed keywords

EID: 41149167221     PISSN: 12299197     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12221-008-0014-4     Document Type: Article

References (14)

1. M. E. Üreyen and H. Kadog̈lu, Text. Res. J., 76(5), 360 (2006).
2. M. D. Ethridge and R. Zhu, "Proceedings of the Beltwide Cotton Conference", Vol. 2, p. 1314, 1996:
3. L. Hunter, Melliand Textilber, 69(E), 123 (1988).
4. P. K. Majumdar and A. Majumdar, Text. Res. J., 74, 652 (2004).
5. Y. El Mogahzy, R. M. Broughton, and W. K. Lynch, Text. Res. J., 60, 495 (1990).
6. L. Hunter, "Proceedings of the 27th International Cotton Conference", Bremen, March 24-27, 2004.
7. R. Chattopadhyay and A. Guha, "Artificial Neural Networks: Applications to Textile", pp. 17-22, The Textile Institute, Manchester, 2004.
8. L. Cheng and D. L. Adams, Text. Res. J., 65, 495 (1995).
9. F. Pynckels, P. Kiekens, S. Sette, L. Van Langenhove, and K. Impe, J. Text. Inst., 88, 440 (1997).
10. S. Sette, L. Boullart, L. Van Langenhove, and P. Kiekens, Text. Res. J., 67, 84(1989).
11. A. Majumdar, P. K. Majumdar, and B. Sarkar, Indian J. Fibre Text. Res., 29, 157 (2004).
12. A. Majumdar, P. K. Majumdar, and B. Sarkar, J. Text. Inst., 96, 55 (2005).
13. A. Majumdar, P. K. Majumdar, and B. Sarkar, Indian J. Fibre Text. Res., 30, 19 (2005).
14. V B. Rao, "C++ Neural Networks and Fuzzy Logic", pp.14-22, IDG Books Worldwide Inc., 1995.