The quality of resistance spot welding of low carbon steel and high strength low alloy steel is studied by looking into the dynamic voltage characteristics of the electrodes.

本文通过对电阻点焊电极电压动态特性的分析，研究了低碳钢及低合金高强度钢电阻点焊的质量问题。

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Then a lot of experimental data about welding parameters and corresponding spot welding quality were supplied to the ANN for training.

然后将试验得到的大量点焊工艺参数与相应点焊接头质量的试验数据提供给神经网络学习。

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This paper proposes a procedure for artificial neural network (ANN) in spot welding, and establishes spot welding parameter selecting ANN systems and spot welding joint quality predicting ANN systems.

将人工神经网络技术(ANN)引入点焊领域，建立了点焊工艺参数选择ann系统和点焊接头质量预测ann系统。

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