Soft Computing in Textile Engineering
Abhijit Majumdar
11/2010 · Elsevier
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Soft computing refers to a collection of computational techniques which study, model and analyse complex phenomena. As many textile engineering problems are inherently complex in nature, soft computing techniques have often provided optimum solutions to these cases. Although soft computing has several facets, it mainly revolves around three techniques; artificial neural networks, fuzzy logic and genetic algorithms. The book is divided into five parts, covering the entire process of textile production, from fibre manufacture to garment engineering. These include soft computing techniques in yarn manufacture and modelling, fabric and garment manufacture, textile properties and applications and textile quality evaluation. - Covers the entire process of textile production, from fibre manufacture to garment engineering including artificial neural networks, fuzzy logic and genetic algorithms - Examines soft computing techniques in yarn manufacture and modelling, fabric and garment manufacture - Specifically reviews soft computing in relation to textile properties and applications featuring garment modelling and sewing machines
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Abhijit Majumdar is currently holding the position of R. Jaikumar Chair Professor for DecisionSciences in the Textile and Fibre Engineering department at the Indian Institute of Technology, Delhi, India(IIT Delhi). He has published 145 research papers in international refereed journals. His researchareas include protective fibrous materials, operations management, and sustainable supply chains.management. He has authored two textbooks, edited four books, and two monographs. He is theassociate editor of the Journal of the Institution of Engineers (India) Series E (Chemical and TextileEngineering) and OPSEARCH.
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