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.

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Artificial Intelligence in Textile Engineering: Basic Concepts and Applications explains techniques from first principles in the perfect way for textiles materials scientists and engineers. The book discusses how the technology has caused a substantial impact across the textiles supply chain, making products more efficient, flexible, and reliable. 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, and MATLAB codes, giving readers from different backgrounds the perfect entry to AI solutions.

Contenu

Introduction to AI Techniques
1. Basic Concepts of Artificial Neural Network and Applications in Textiles
2. Use of the Support Vector Machine in Textiles
3. Applications of Fuzzy Inference Systems in Textiles
4. Applications of Rough Set in Textiles
5. Applications of Nature-Inspired Optimisation Algorithms in Textiles
6. Applications of Hybrid Intelligence Systems in Textiles