• 제목/요약/키워드: 단순 경쟁학습 수정형 신경 회로망

검색결과 1건 처리시간 0.016초

다공질 압전소자로 제작한 초음파 트랜스듀서와 신경회로망을 이용한 3차원 수중 물체복원 (3-D underwater object restoration using ultrasonic transducer fabricated with porous piezoelectric resonator and neural network)

  • 조현철;박정학;사공건
    • E2M - 전기 전자와 첨단 소재
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    • 제9권8호
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    • pp.825-830
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    • 1996
  • In this study, Characteristics of Ultrasonic Transducer fabricated with porous piezoelectric resonator, 3-D underwater object restoration using the self made ultrasonic transducer and modified SCL(Simple Competitive Learning) neural network are investigated. The self-made transducer was satisfied the required condition of ultrasonic transducer in water, and the modified SCL neural network using the acquired object data 16*16 low resolution image was used for object restoration of $32{\times}32$ high resolution image. The experimental results have shown that the ultrasonic transducer fabricated with porous piezoelectric resonator could be applied for SONAR system.

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