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  • 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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