Modelling of CIELAB values in vinyl sulphone dye application using feed-forward neural networks

Dyes and Pigments

Volumn 75, Issue 2, 2007, Pages 356-361

  Senthilkumar, M ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

Author keywords

Colour measurement; Neural networks; Reflectance; Total dye fixed; Whiteness index

Indexed keywords

COLORIMETRY; COTTON FABRICS; DYEING; FEEDFORWARD NEURAL NETWORKS; REFLECTION;

VINYL SULPHONE DYE;

DYES;

COLOR; COMPUTER SIMULATION; COTTON FABRIC; DYEING; NEURAL NETWORK; REACTIVE DYE; REFLECTIVE PROPERTY;

EID: 34248190674     PISSN: 01437208     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dyepig.2006.06.010     Document Type: Article

References (21)

1. Jasper W.J., Kovacs E.T., and Berkstresser W.G.A. Using neural networks to predict dye concentrations in multiple dye mixtures. Text Res J 63 (1993) 545-551
2. Debnath S., Madhusoothanan M., and Srinivasmoorthy V.R. Modelling of tensile properties of needle punched nonwovens using artificial neural networks. Indian J Fibre Text Res 25 (2000) 31-36
3. Jeffery kuo C.-F., Wang C.-C., and Hsieh C.-T. Theoretical control and experimental verification of carded web density, part III: neural network controllers design. Text Res J 69 (1999) 401-406
4. Cheng L., and Adams D.L. Yarn strength prediction using neural networks; part 1: fibre properties and yarn strength relationship. Text Res J 65 (1995) 495-500
5. Zhu R., and Dean Ethridge M. Predicting hairiness for ring and rotor spun yarns and analysing the impact of fibre properties. Text Res J 67 (1997) 694-698
6. Park S.-W., Hwang Y.-G., Kang B.-E., and Yeo S.-W. Applying fuzzy logic and neural networks to total hand evaluation of knitted fabrics. Text Res J 70 (2000) 675-681
7. Behera B.K., Senthilkarthik G., Mani M.P., and Varun V.K. Fabric defect classification by using artificial neural network. Indian Text J 1 (2001) 19-28
8. Huang C.-C., and Yu W.-H. Fuzzy neural network approach to classifying dyeing defects. Text Res J 71 (2001) 100-104
9. Sette S., Boullart L., and Keikens P. Self-organising neural nets: a new approach to quality in textiles. Text Res J 65 (1995) 196-202
10. Senthilkumar M., and Selvakumar N. Achieving the expected depth of colour in reactive dye application using artificial neural network. Dyes Pigments 68 (2006) 89-94
11. 2/UV decolouration process. Dyes Pigments 42 (1999) 123-135
12. Bahlmann C., Heidemann G., and Ritter H. Artificial neural networks for automated quality control of textile seams. Pattern Recogn 32 (1999) 1049-1060
13. El-Messiry M., Sultan M., Behary H., Mansour S.A., and Ezzat M. ANN a tool to predict fabric processability. Indian Text J 4 (2001) 104-110
14. Park C.K., and Kang T.J. Objective rating of seam pucker using neural networks. Text Res J 67 (1997) 494-502
15. Hinton G.E. How neural networks learn from experience. Sci Am 267 (1992) 145-151
16. Rao V., and Rao H. C++ neural networks and fuzzy logic (1996), BPB publications, New Delhi, India p. 337-72
17. Kawee S., and Pornchai S. Salt-free dyeing of cotton cellulose with a model cationic reactive dye. J Soc Dyers Colour 116 (2000) 398-402
18. Ulrich M., Wang J.-Z., Yushu X., Yarg J.-Z., and Heinrich Z. Dye-fibre bond stabilities of reactive dyes on silk. J Soc Dyers Colour 102 (1986) 6-11
19. Shah H.S., and Gandhi R.S. Instrumental colour measurements and computer aided colour matching for textiles (1990), Mahajan Book Distributors, Ahmadabad, India p. 213
20. Giri Dev V.R., Senthilkumar M., Neelakandan R., and Murugesan M. Effect of chitosan treatment on cotton fabric dyeing. Indian Text J 3 (2004) 29-32
21. Muthukumar M., Sargunamani G., Senthilkumar M., and Selvakumar N. Studies on decolouration, toxicity and the possibility for recycling of acid dye effluents using ozone treatment. Dyes Pigments 64 (2005) 39-44