한국공작기계학회논문집 (Transactions of the Korean Society of Machine Tool Engineers)

한국생산제조학회 (The Korean Society of Manufacturing Technology Engineers)
권호 표지

용접결함의 패턴인식을 위한 분류기 알고리즘의 성능 비교

The Performance Comparison of Classifier Algorithm for Pattern Recognition of Welding Flaws

  • 발행 : 2006.06.01
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초록

In this study, we nodestructive test based on ultrasonic test as inspection method and compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as pattern recognition algorithm of welding flasw. For this purpose, variables are applied the same to two algorithms. Where, feature variables are zooming flaw signals of reflected whole signals from welding flaws in time domain. Through this process, we confirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.

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참고문헌

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