中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved material removal model for robot polishing based on neural networks

文献类型:期刊论文

作者Y.Yu; L.Kong; H.Zhang; M.Xu; L.Wang
刊名Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
出版日期2019
卷号48期号:3
关键词Learning algorithms,Deep neural networks,Learning systems,Polishing,Robots
ISSN号10072276
DOI10.3788/IRLA201948.0317005
英文摘要A strategy for improving the precision of material removal model based on deep neural networks was proposed. A deep learning algorithm with ability of feature selecting was proposed. A series of simulation samples composed of a material removal rate and corresponding polishing parameters were generated based on the model of material removal rate for robot polishing. The deep learning algorithm learned both the simulation samples and practical samples and then a deep learning model was established. The error between material removal depth of the test samples and material removal depth estimated by polishing parameters by using proposed deep learning model was calculated and compared. The results show that the improved model can achieve higher accuracy than the traditional models. 2019, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
URL标识查看原文
源URL[http://ir.ciomp.ac.cn/handle/181722/62846]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Y.Yu,L.Kong,H.Zhang,et al. An improved material removal model for robot polishing based on neural networks[J]. Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering,2019,48(3).
APA Y.Yu,L.Kong,H.Zhang,M.Xu,&L.Wang.(2019).An improved material removal model for robot polishing based on neural networks.Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering,48(3).
MLA Y.Yu,et al."An improved material removal model for robot polishing based on neural networks".Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering 48.3(2019).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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