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在介绍人工神经网络模型特点的基础上,结合堆焊过程的复杂性、不确定性和随机性,研究了用人工神经网络预测埋弧堆焊药芯焊丝合金元素过渡系数和熔敷金属化学成分
Based on the characteristics of the artificial neural network model and the complexity, uncertainty and randomness of the surfacing process, the artificial neural network (ANN) was used to predict the transition elements and the chemical composition of the deposited metal