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.

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

Table of Contents:

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