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Record Nr. |
UNINA9910494629003321 |
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Autore |
Shaikh Tasnim N. |
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Titolo |
Engineering cotton yarns with artificial neural networking (ANN) / / Dr. (Mrs.)Tasnim N. Shaikh and Mrs. Sweety A. Agrawal |
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Pubbl/distr/stampa |
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New Delhi, India : , : Woodhead Publishing India PVT LTD, , 2017 |
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ISBN |
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93-85059-79-3 |
1-351-18626-4 |
1-351-18627-2 |
1-351-18625-6 |
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Descrizione fisica |
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1 online resource (268 pages) : illustrations |
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Collana |
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Woodhead Publishing India in textiles |
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Disciplina |
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Soggetti |
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Neural networks (Computer science) |
Cotton yarn |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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chapter 1 Classification of textile yarns -- chapter 2 Attributes of cotton mixing -- chapter 3 Testing techniques used in yarn engineering -- chapter 4 Statistical techniques used in yarn engineering -- chapter 5 Artificial neural networking (ANN) -- chapter 6 Changes in mix formulation approach with the technological developments -- chapter 7 Cotton fiber engineering -- chapter 8 Yarn engineering by back propagation algorithm concept of / ANN -- chapter 9 Optimisation of yarn quality, cost and process parameters -- chapter 10 Case study. |
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Sommario/riassunto |
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"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 |
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