Predicting Hairiness for Ring and Rotor Spun Yarns and Analyzing the Impact of Fiber Properties

Textile Research Journal

Volumn 67, Issue 9, 1997, Pages 694-698

  Zhu, Reiyao ^a   Ethridge, M Dean ^a  

^a TEXAS TECH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COTTON FIBERS; NEURAL NETWORKS; PHYSICAL PROPERTIES;

BACK PROPAGATION NEURAL NETWORK ALGORITHMS; FIBER LENGTH; HAIRINESS;

YARN;

MATHEMATICAL ANALYSIS; NEURAL NETWORKS; THEORETICAL ANALYSIS; YARN HAIRINESS;

EID: 0031231403     PISSN: 00405175     EISSN: 17467748     Source Type: Journal    
DOI: 10.1177/004051759706700909     Document Type: Article

References (10)

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4. Haykin Simon, “Neural Network—A Comprehensive Foundation,” Macmillan, Englewood Cliffs, NJ, 1994.
5. Nelson M. M. Illingworth W. T., “A Practical Guide to Neural Nets,” Addision-Wesley, NY, 1991.
6. Pillay K. P. R., A Study of the Hairiness of Cotton Yarns—Effect of Fiber and Yarn Factors, Textile Res. J. 34, 663 (1964).
7. Viswanathan G. Munshi V. G. Ukidve A. V. Chandran K., A Critical Evaluation of the Relation Between Fiber Quality Parameters and Hairiness of Cotton Yarns, J. Textile Inst. 80, 707 (1989).
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9. Using Neuralworks—A tutorial for Neuralworks Professional II/Plus and Neuralworks Explore, NeuralWare, Inc., Technical Publications Group, Pittsburgh, PA, 1995.
10. Texas Cotton Quality Evaluation of Crop of 1993, 1994, 1995, International Textile Center, Lubbock, Texas.