Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Particle Sizing Using Light Scattering and Neural Networks

산란이론과 신경회로에 의한 입자크기계측

  • 남부희 (강원대학교 전기전자정보통신공학부) ;
  • 이상재 (㈜ 메디슨) ;
  • 박민현 (삼성전자, 강원대RRC(석재복합신소재제품)) ;
  • 이영진 (미래산업) ;
  • 이석원 (강원대학교 제어계측공학과) ;
  • 류태우 (한국생산기술연구원) ;
  • 방병렬 (한국생산기술연구원)
  • Published : 2000.06.01
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Abstract

Using the scattering theory of laser light, we analyze the particle sizing method. The scattered profile measured by the photodetector is sampled, scale conditioned by a 32 channel analog-to-digital converter, and is analyzed with the transform matrix from the light energy signals to the weights of the particle sizes. The particle size distribution is classified using the Hopfield neural network method as well as the conventional nonnegative least square method.

Keywords

References

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