LEADER 03197oam 2200541 450 001 9910494629003321 005 20210802071150.0 010 $a93-85059-79-3 010 $a1-351-18626-4 010 $a1-351-18627-2 010 $a1-351-18625-6 024 7 $a10.1201/9781351186278 035 $a(CKB)3790000000542552 035 $a(MiAaPQ)EBC5199876 035 $a(OCoLC)1014004086 035 $a(MiAaPQ)EBC6404878 035 $a(EXLCZ)993790000000542552 100 $a20210802d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aEngineering cotton yarns with artificial neural networking (ANN) /$fDr. (Mrs.)Tasnim N. Shaikh and Mrs. Sweety A. Agrawal 210 1$aNew Delhi, India :$cWoodhead Publishing India PVT LTD,$d2017. 215 $a1 online resource (268 pages) $cillustrations 225 1 $aWoodhead Publishing India in textiles 300 $aIncludes index. 311 $a93-85059-20-3 320 $aIncludes bibliographical references and index. 327 $tchapter 1 Classification of textile yarns -- $tchapter 2 Attributes of cotton mixing -- $tchapter 3 Testing techniques used in yarn engineering -- $tchapter 4 Statistical techniques used in yarn engineering -- $tchapter 5 Artificial neural networking (ANN) -- $tchapter 6 Changes in mix formulation approach with the technological developments -- $tchapter 7 Cotton fiber engineering -- $tchapter 8 Yarn engineering by back propagation algorithm concept of /$r ANN -- $tchapter 9 Optimisation of yarn quality, cost and process parameters -- $tchapter 10 Case study. 330 $a"This book is designed to provide a platform for the critical evaluation of deficits of classical cotton yarn engineering approach and how they were overruled by the development of today's ANN based scientific approach. Legendary ring spinning process is kept as a reference and various technological changes undergone by the different sectors of the yarn engineering system are elaborated. The entire book is divided into ten chapters. The opening chapter briefs on varieties of textile fibers available and amongst them identifies the significance of cotton fiber for the textile industry. It also covers up ring spinning pattern along with constraints handled due to natural fiber variations in transitory way. Artificial Neural Networking (ANN) is the upcoming software technique to replace Biological Neural Network (Human brain) for accurate resolution of complex problems, fifth chapter remits on this technology."--Provided by publisher. 410 0$aWoodhead Publishing India in textiles. 606 $aNeural networks (Computer science) 606 $aCotton yarn 608 $aElectronic books. 615 0$aNeural networks (Computer science) 615 0$aCotton yarn. 676 $a006.32 700 $aShaikh$b Tasnim N.$01030681 702 $aAgrawal$b Sweety A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910494629003321 996 $aEngineering cotton yarns with artificial neural networking (ANN)$92447689 997 $aUNINA LEADER 01230oas 2200349z- 450 001 9910389224003321 005 20251120153143.0 035 $a(CKB)2530000000000742 035 $a(MiFhGG)3FUY 035 $a(IL-JeEL)992530000000000742 035 $a(EXLCZ)992530000000000742 100 $a20121018cuuuuuuuu -u- - 101 0 $aeng 135 $aurcn#nnn||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIndia insurance review$ethe essential resource for the Indian insurance industry 210 1$aIndia :$cSP Media Pvt Ltd :$cAthena Information Solutions Pvt. Ltd,$d2009- 215 $a1 online resource 320 $aIncludes bibliographical references (pages) and index. 330 $aIndia Insurance Review is an online resource for Insurance companies, banks and corporates who wish to stay updated on happenings in the insurance industry in India. 517 3 $aIndia insurance review. 606 $aInsurance$zIndia 606 $aInsurance$zIndia 607 $aIndia$xEconomic conditions 615 0$aInsurance 615 0$aInsurance 906 $aJOURNAL 912 $a9910389224003321 996 $aIndia Insurance Review$92103554 997 $aUNINA