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

초음파 검사 기반의 용접결함 분류성능 개선에 관한 연구

In this study, we made a comparative study of backpropagation neural network and probabilistic neural network and bayesian classifier and perceptron as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to four algorithms. Here, feature variable is composed of time domain signal itself and frequency domain signal itself, Through this process, we confirmed advantages/disadvantages of four algorithms and identified application methods of few algorithms.