基于神经网络的自整定函数器

The Self-Tuning Function Generator Based on Neuro-network

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 generator based on neuro-network is stated. It implements self-tuning of the function generator by adopting the non-linear reflection and self-elarn-ing capability. This method enhanced the accuracy of approximation and reduced the commissioning period.