Performance Comparison of Neural Network Algorithm for Shape Recognition of Welding Flaws

용접결함의 형상인식을 위한 신경회로망 알고리즘의 성능 비교

In this study, we compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to two algorithm. Here, feature variable is composed of time domain signal itself and frequency domain signal itself, Through this process, we comfirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.