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
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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 |
DOI | 10.3788/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
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