基于GRNN神经网络的工件智能矫正算法

Algorithm for artificial - workpiece - oriented correction based on GRNN neural network

为了克服传统工件矫正方法的缺陷,提出一套完整的工件智能矫正系统,并在此基础上着重阐述了系统中基于GRNN神经网络的智能矫正算法。GRNN神经网络具有出色的预测、自学习、非线性映射以及容错能力,以此为基础的矫正算法,很好地解决了.传统矫正算法中非线性影响因素多、建模困难的问题。经过实验验证,本文提出的基于GRNN神经网络的矫正算法是可行和有效的。

To avoid the disadvantages of the traditional work - piece correction system, the article presents a new intelligent system based on GRNN neural network. GRNN neural network is able to forecast, self - study, non - linear map and correct. The algorithm based on it can solve lots of problems about building models. Tests show that the new algorithm is feasible and effective.