Application of artificial neural network (ANN) in yarn manufacturing

Asian Textile Journal

Volumn 11, Issue 11, 2002, Pages 58-62

  Chandramohan, G ^a   Chellamani, K P ^a  

^a South India Textile Research Association   (India)

Author keywords

[No Author keywords available]

Indexed keywords

DEFECT; MODEL; NEURAL NETWORK; YARN MANUFACTURE;

EID: 0036869691     PISSN: 09713425     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (9)

1. Ham M F, and Ivica Kostanic, Principles of Neurocomputing for science and engineering, McGraw-Hill International Edition, 2001
2. Pynckels F, Kiekens P, Sette S, Van Langenhove L and Impe K, Use of neural nets for determining the spinnability of fibres, J Text Inst, 1995, Vol. 86, pp 425-437
3. Ramesh M C, Rajamanickam R, and Jayaraman S, The prediction of yarn tensile properties by using artificial neural networks, J Text Inst, 1995, Vol 86, pp 459-469
4. Luo Cheng and David L Adams, Yarn strength prediction using neural networks : Part I - Fibre properties and yarn strength relationship, Textile Res J, Vol 65, pp 495-500
5. Zhu R, and Ethridge MD, The prediction of cotton yarn irregularity based on the 'AFIS' measurement, J Text Inst 1996, Vol 87, Part I, pp 509-512
6. Zhu R, and Ethridge MD, Predicting hairiness for ring and rotor spun yarns and analyzing the impact of fibre properties, Textile Res J, 1997, Vol 67, pp 694-698
7. Pynckels F, Kiekens. P, Sett. S, Van Langenhove L, and Impe K, The use of neural nets to simulate the spinning process, J Text Inst 1997, Vol 88, Part 1, pp 440-447
8. Sette S, Boullart L, Van Langenhove L, and Kiekens P, Optimising the fibre-to- yarn production process with a combined neural network/genetic algorithm approach, Textile Res J, 1997, Vol 67, pp 84-92
9. Chellamani K P, Studies on the low stress mechanical and surface properties of polyester air-jet spun yarns and handle properties of fabrics made out of air-jet yarns, PhD Thesis, 2001.