摘要
在不需要任何先验知识的情况下,无论误差分布形式如何,直接利用实验数据对光栅测量系统建立径向基函数(RBF)神经网络模型。
In this paper,by using RBF(radial basis runction)neural network, the modeling method on linear grating error is introduced.The characteristic of this method is that, it only use the experiment data and there are no needs of knowledge and experience about the error form.The simulation and practical application prove that the precision of measuring system is improved greatly by using the model as error compensation.
出处
《机械与电子》
2004年第6期59-61,共3页
Machinery & Electronics
基金
国家 八六三"计划项目(2 0 0 2AA40 44 5 0)
