This course focus on optimization, prediction, classification, clustering and identification of parameters, Properties and patterns of fibrous materials and textiles.
The major contents involves:
principles of neural networks of Heb, Delta, Perceptron, Kohonen, Associative, ART, Time-dependent, Recurrent and other neural networks with applications in textile science and technology. Genetic algorithm, swarm, annealing rules and C-mean clustering in optimization of textile parameters and properties and special applications in transformation equations of textile physics and chemistry. Fuzzy logic, fuzzy set theory and fuzzy systems and also fuzzy neural networks and application of these systems in textile parameters identification, control and optimization.
This course involves theoretical and experimental work especially software making, programming with Matlab software and data analysis of textile parameters for various kinds of fibrous materials and textile structures and textile processes.