长光栅误差的神经网络建模分析  

Research on Neural Network Modeling of Linear Grating Error

作　　者：李鸣鸣[1] 龚振邦[1] 

机构地区：[1]上海大学,上海200072

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)

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.

关 键 词：长光栅 误差模型 补偿 径向基函数神经网络 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP274[自动化与计算机技术—控制科学与工程]