대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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Object Recognition and Restoration Using Ultrasound Sensors and Neural Networks

  • 추승원 (홍익대학교 전기제어공학과) ;
  • 이기성 (홍익대학교 전기제어공학과)
  • Choo, Seung-Won (Department of Electrical & Control Engineering Hong-Ik University) ;
  • Lee, Kee-Seong (Department of Electrical & Control Engineering Hong-Ik University)
  • 발행 : 1994.11.18
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초록

An object recognition and restoration using ultrasound sensors and neural networks are presented. The planar arrangement of the sensor is used to reduce the interference effects between sensors. The SOFM(Self-Organizing Feature Map) Neural Network and SCL(Simple Competitive Learning) method are learned with the acquired data. Lab experiments were performed that the object can be recognized ed the resolutions of the object can be enhanced by using the small number of the ultrasound array and neural networks.

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