The 3-D Underwater Object Recognition Using Neural Networks and Ultrasonic Sensor Fabricated with 1-3 Type Piezoelectric Composites

1-3형 압전복합체로 제작한 초음파센서와 신경회로망을 이용한 3차원 수중 물체인식

  • 조현철 (경북전문대 전기전자계열) ;
  • 이기성 (홍익대 공대 전자전기공학부)
  • Published : 2001.07.01


In this study, the characteristics of ultrasonic sensor fabricated with PZT-Polymer 1-3 type composites are investigated. The 3-D Underwater object recognition using the self-made ultrasonic sensor and SOFM neural network is presented. The ultrasonic sensor is satisfied with the required condition of commercial ultrasonic sensor in underwater. The 3-D underwater object recognition for the training data and the testing data are 100[100%], respectively. The experimental results have shown that the ultrasonic sensor fabricated with PZT-Polymer 1-3 type composites can be applied for sonar system.


1-3 Type piezoelectric composite;SOFM Neural Networks;Neuron space


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