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利用模糊控制的思想，将误差、误差变化及加速度作为输入，建立一个神经网络控制器，对具有不确定性控制对象提出了一种自学习模糊神经网络控制方法．并将此方法用于焊接熔池动态过程控制的有效性试验
Using the idea of fuzzy control, taking error, error variation and acceleration as input, a neural network controller is built, and a self-learning fuzzy neural network control method is proposed for the control object with uncertainty. The method is applied to the validity test of dynamic process control of weld pool