Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness-Reference-Cited by-同舟云学术

Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness

Published:2008-02 Issue:1 Volume:9 Page:92-96
ISSN:1229-9197
Container-title:Fibers and Polymers
language:en
Short-container-title:Fibers Polym

Author:

Üreyen Mustafa E.,Gürkan Pelin

Publisher

Springer Science and Business Media LLC

Subject

Polymers and Plastics,General Chemical Engineering,General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s12221-008-0015-3.pdf

Reference13 articles.

1. G. Mongold and W. Topt, Melliand Textilber, 66, 245 (1985).

2. A. Barella, “Yarn Hairiness”, p.47, Textile Progress 13, Manchester, 1983.

3. A. Barella and A. M. Manich, “Yarn Hairiness Update: A Critical Appreciation of Recent Developments”, p.31, Textile Progress 26, Manchester, 1997.

4. K. P. R. Pillay, Text. Res. J., 34, 663 (1964).

5. A. Barella and A. M. Manich, Text. Res. J., 59, 632, (1989).

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