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 02106nam 2200373 450 001 9910137183403321 005 20210319125640.0 010 $a9788598729251$b(ebook) 035 $a(CKB)3710000000534588 035 $a(WaSeSS)IndRDA00057678 035 $a(EXLCZ)993710000000534588 100 $a20160615d2015 uy 0 101 0 $apor 135 $aur||#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProtocolos para o monitoramento de habitats bento?nicos costeiros $eRede de Monitoramento de habitats Bento?nicos Costeiros /$fAlexander Turra & Marcia Regina Denadai, (organizadores) 210 1$aSa?o Paulo, Brazil :$cReBentos,$d2015. 215 $a1 online resource (258 pages) $cdigital, PDF file(s) 320 $aIncludes bibliographical references. 330 $aWith the participation of more than 100 specialists in coastal marine benthic research, the book presents methodological proposals for continuous and long-term monitoring of existing benthic ecosystems on the Brazilian coast. Given that the Coastal Benthic Habitats Monitoring Network (ReBentos) proposes to monitor this environment continuously and by the largest number of research groups, covering as completely as possible the entire latitudinal variation of the coast, the methods presented were defined looking for promptness, simplicity of procedures and low cost, favouring its wide application. From this product, all researchers, whether or not linked to ReBentos, will be able to develop, in a standardized and comparative way, research with different benthic habitats in the different regions of the Brazilian coast. 606 $aClimatic changes 606 $aCoastal biodiversity 608 $ab Electronic books. 615 0$aClimatic changes. 615 0$aCoastal biodiversity. 702 $aTurra$b Alexander 702 $aDenadai$b Marcia Regina 801 0$bWaSeSS 801 2$bUkMaJRU 912 $a9910137183403321 996 $aProtocolos para o monitoramento de habitats bento?nicos costeiros$92220647 997 $aUNINA