A study on the capability of a neural network ranking fibre parameters having an influence on yarn properties

Journal of the Textile Institute

Volumn 94, Issue 3-4, 2003, Pages 186-193

  Jayadeva, ^a   Guha, A ^a   Chattopadhyay, R ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77649153478     PISSN: 00405000     EISSN: 17542340     Source Type: Journal    
DOI: 10.1080/00405000308630607     Document Type: Article

References (11)

1. Cabeco Silva, M.E., Cabeco Silva, A.A., Samarao, J.L., and Nasrallah, B.N., 1996. Artificial Neural Networks:Applications in Cotton Spinning Processing. In Proceedings of the Beltwide Cotton Conference, Nashville, TE, USA, Vol. 2, pp. 1481–1484.
2. Cheng, L., and Adams, D. L., 1995. Yarn Strength Prediction Using Neural Networks, Part I:Fibre Properties and Yarn Strength Relationship. Text. Res. J., 65:495–500.
3. Le Cun, Y., Denker, J.S., and Solla, S.A., 1990. Optimal Brain Damage. In Advances in Neural Information Processing System (NIPS) 2, Morgan Kauffmann, San Mateo, CA, USA, pp. 598–605.
4. Levin, A.S., Leen, T.K., and Moody. J.E., 1994. Fast Pruning Using Principal Components. In Advances in Neural Information Processing System (NIPS) 6, Morgan Kauffmann, San Mateo, CA, USA, pp. 35–42.
5. Mozer, M.C., and Smolensky, P., 1989. Skeletonization:A Technique for Trimming the Fat from a Network via Relevance Assessment. In Advances in Neural Information Processing System (NIPS) 1, Morgan KaufFmann, San Mateo, CA, USA, pp. 107–115.
6. Price, J.B., 1985. Text. Topics, XIII, No. 10.
7. Pynckels, F., Kiekens, P., Sette, S., Van Langenhove, L., and Impe, K., 1997. The Use of Neural Nets to Simulate the Spinning Process. J. Text. Inst., 88 (Part 1):440–448.
8. Ramesh, M. C., Rajamanickam, R., and Jayaraman, S., 1995. The Prediction of Yarn Tensile Properties by Using Artificial Neural Networks. J. Text. Inst., 86:459–569.
9. Sleadman, R. G., 1997. Cotton Testing. Text. Prog., 27 (1):22
10. Stork, D., and Hassibi, B., 1993. Second Order Derivatives for Network Pruning:Optimal Brain Surgeon. In Advances in Neural Information Processing System (NIPS) 5, Morgan Kauffmann, San Mateo, CA, USA, pp. 164–171.
11. Zellweger Uster, 1991. Measurement of the Quality Characteristics of Cotton Fibres. Uster News Bulletin. Customer Information Service, No. 38, July.