Prediction of CNC thermal deformation based on the compensation fuzzy neural network

被引：0
|
作者：
Yu, Jin [1 ]
Liu, Chenglin [1 ]
Zhu, Xiufeng [1 ]
Shi, Yuxiang [1 ]
机构：
[1] Shenyang Aerosp Univ, Sch Electromech Engn, Shenyang 110136, Liaoning, Peoples R China
来源：
ADVANCED MATERIALS AND PROCESSES III, PTS 1 AND 2 | 2013年 / 395-396卷
关键词：
Thermal Error Predictive; Compensation Fuzzy Neural Networks; Modeling; NC Machine Tools;
D O I：
10.4028/www.scientific.net/AMM.395-396.1218
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A new predictive model has proposed based on compensation fuzzy neural networks for thermal error in NC machine tools. The structure of model, fuzzy rule, training algorithm and some technological problems are discussed.And the result of intelligent prediction and accuracy evaluation are given.
引用
收藏
页码：1218 / 1221
页数：4
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