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提出了一种基于神经网络的自整定函数器.其利用种经网络的非线性映射和自学习能力,实现函数器的自动整定.这种方法可以提高函数器的逼近精度,缩短现场调整时间.
A self-tuning function based on neural network is proposed.It makes use of the nonlinear mapping and self-learning capability of the neural network to realize the automatic tuning of the function.This method can improve the approximation accuracy of the function and shorten the time of field adjustment.