섬유

Natural Computation and Process Modeling in the High-Performance Fiber Plant.

  • 출판일2001.04
  • 저자
  • 서지사항
  • 등록일 2016.11.02
  • 조회수 224
Fiber processing machines that use in-line sensors, chemical analyzers, and instrumentation generate data for process control and quality control assessment. Such novel adaptive learning techniques as artificial neural networks interpret online measured data. Other processing techniques include multivariate statistical process control, process modeling using natural computation, and inversion of the forward relations. Advanced statistical techniques and adaptive computation techniques will become essential data analysis techniques in fiber manufacturing plants in this century. numerous refs.