Engineering Cotton Yarns with Artificial Neural Networking (ANN)

Dr. Tasnim N. Shaikh is an Associate professor of Textile Engineering at the Maharaja Sayajirao University of Baroda, Vadodara. Dr. Shaikh has received her graduation, post-graduation and PhD degrees, all in Textile Engineering from the Maharaja Sayajirao University of Baroda, Vadodara and joined the faculty of the University in 1990. She has been associated with this noble profession for more than 26 years. Dr. Shaikh’s scholarly interests are in cotton spinning, manmade textiles, technical textiles and Nano technology application in the textile field. She has written books, chapters for books, more than fifty research papers as well as review papers for reputed national and international journals, and has contributed precious papers in national as well as international symposiums. Mrs. Sweety A. Agrawal is an Assistant professor, in the Textile Engineering department at the Maharaja Sayajirao University of Baroda, Vadodara. She has completed her P.G and is currently pursuing her PhD from the same University. She has been in the teaching profession since 2008. She has various research as well as review papers in reputed national and international journals in various area of research such as testing of textile material, technical textiles and numerical simulation. She has presented papers at international conferences.

Preface. Classification of textile yarns. Attributes of cotton mixing. Testing techniques used in yarn engineering. Statistical techniques used in yarn engineering. Artificial neural networking (ANN). Changes in mix formulation approach with the technological developments. Cotton fiber engineering.Yarn engineering by back propagation algorithm concept of ANN. Optimisation of yarn quality, cost and process parameters. Case study. Appendix. Abbrevations. Index