Fuzzy neural network for error compensation

被引：0

作者：

Li, QM ^{[1
]}

Guo, X ^{[1
]}

Li, C ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Automat Measurement & Control Engineer, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3 | 2002年

关键词：

fuzzy neural network; angular measurement; error compensation;

D O I：

暂无

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A fuzzy neural network for angular error compensation is presented in this paper. Fuzzy operations are performed to analyze different kinds of angular errors. A calculating model of learning algorithm is established for a set of membership and fuzzy rules. The expressions of polynomial and neural network are used to approximate angular error, and the variance error caused by using fuzzy neural network is smaller.

引用

页码：730 / 732

页数：3