- Fingerprinting &
Backward-Quality-Projection-in-Textile-Products is to design and
develop a quality ~‘process control system for the 21 St century U.
S. Textile Industry.
- The system will
use backward tracking (fingerprinting) to identify the quality
features associated with materials machines and processes in such a
way that information can lead to better control, quality
improvements and customer centered design decisions.
- Backward Quality
Projection of Common and Frequent Quality Problems task is to
identify quality characteristics associated with both good and poor
quality yarn and fabric.
- Neural networks
as numerical algorithms of a specific structure are capable of
processing information. Neural networks are now frequently used for
approximation, including the textile industry.
- The metal parts
on textiles and accessories must be protected against tarnishing and
must be resistant to corrosion.
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