摘要
给出一种用于钨极气体保护电弧焊（ＧＴＡＷ） 建模及控制的人工神经网络（ＡＮＮ） ，重点论述利用ＡＮＮ建立焊接参数模型的方法以及在熔深控制方面的应用．通过实际实验证明。
An artificial neural network (ANN) for gas tungsten arc welding (GTAW) process modeling and control is presented in this paper.The discussion is mainly focused on the use of ANN for the weld parameter modeling and its application for the control of the weld pool depth.The effectiveness of the proposed intelligent methods is demonstrated by the real experiments.The weld modeling method using ANN yields conspicuously improved performance.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1999年第6期921-923,927,共4页
Control Theory & Applications
