Artificial Intelligence in Textile Engineering

Artificial Intelligence in Textile Engineering explains Artificial Intelligence techniques from first principles in the perfect way for textiles materials scientists and engineers.Advances in Artificial Intelligence technology have made a substantial impact across the textiles supply chain, making products more efficient, flexible and reliable. In this book techniques such as artificial neural network, support vector machine, fuzzy logic, rough set, evolutionary algorithm, and hybrid intelligence systems are described with application to textiles. Readers are supported throughout with step by step mathematical derivations of AI techniques, case studies, as well as MATLAB codes, giving readers from different backgrounds the perfect entry to AI solutions. - Includes MATLAB® codes for solving various artificial intelligence techniques - Provides case studies, practical examples of textile engineering problems and self-study problems in each chapter - Presents step-by-step mathematical derivations of artificial intelligence techniques throughout

Anindya Ghosh is an Associate Professor at the Government College of Engineering and Textile Technology, Berhampore, West Bengal, India. He has experience of working in the textile spinning industry as a shift engineer before studying for his PhD at the Indian Institute of Technology, Delhi, India, in 2004. He also received the Career Award for Young Teacher-2009 from the All India Council for Technical Education (AICTE). He has more than 17 years of teaching experience. His research areas include yarn manufacturing, yarn and fabric structures, artificial intelligence, modelling and simulation, statistical quality control, optimization and decision-making techniques. He has published more than 80 papers in various refereed journals, and co-authored two books.