@article{(Open Science Index):https://publications.waset.org/pdf/10002624,
	  title     = {Dry Relaxation Shrinkage Prediction of Bordeaux Fiber Using a Feed Forward Neural},
	  author    = {Baeza S. Roberto},
	  country	= {},
	  institution	= {},
	  abstract     = {The knitted fabric suffers a deformation in its
dimensions due to stretching and tension factors, transverse and
longitudinal respectively, during the process in rectilinear knitting
machines so it performs a dry relaxation shrinkage procedure and
thermal action of prefixed to obtain stable conditions in the knitting.
This paper presents a dry relaxation shrinkage prediction of Bordeaux
fiber using a feed forward neural network and linear regression
models. Six operational alternatives of shrinkage were predicted. A
comparison of the results was performed finding neural network
models with higher levels of explanation of the variability and
prediction. The presence of different reposes is included. The models
were obtained through a neural toolbox of Matlab and Minitab
software with real data in a knitting company of Southern
Guanajuato. The results allow predicting dry relaxation shrinkage of
each alternative operation.},
	    journal   = {International Journal of Materials and Metallurgical Engineering},
	  volume    = {9},
	  number    = {9},
	  year      = {2015},
	  pages     = {1160 - 1165},
	  ee        = {https://publications.waset.org/pdf/10002624},
	  url   	= {https://publications.waset.org/vol/105},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 105, 2015},
	}