Study on the artificial neural network of the RB-SiC mirror surface roughness fabricated with the fixed abrasive technology

	Study on the artificial neural network of the RB-SiC mirror surface roughness fabricated with the fixed abrasive technology
	Wang X.; Zhang B.
	2014
发表期刊	Guangxue Xuebao/Acta Optica Sinica
ISSN	ISBN/02532239
卷号	34
摘要	Fixed abrasive technique mainly aims at the high precision plane of a space camera to fold the mirror. The microcosmic structure simulation calculation and artificial neural networks analysis of the reaction-bonded sintering (RB) SiC mirror surface roughness fabricated with fixed abrasive technique is analyzed. In the microcosmic structure simulation calculation part, the concept of the two-dimensional (2D) surface roughness is introduced. In the artificial neural networks analysis part, the concept of double hidden layer neural network is introduced to analyze the experimental results. The network performance is improved remarkably through training. The last performance value is 8.407510-5. The network performance is validated after training, the error between simulation data and experimental data is 0.2113, which meets the prediction requirement of the fixed abrasive technique surface roughness.
收录类别	EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/44408
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang X.,Zhang B.. Study on the artificial neural network of the RB-SiC mirror surface roughness fabricated with the fixed abrasive technology[J]. Guangxue Xuebao/Acta Optica Sinica,2014,34.
APA	Wang X.,&Zhang B..(2014).Study on the artificial neural network of the RB-SiC mirror surface roughness fabricated with the fixed abrasive technology.Guangxue Xuebao/Acta Optica Sinica,34.
MLA	Wang X.,et al."Study on the artificial neural network of the RB-SiC mirror surface roughness fabricated with the fixed abrasive technology".Guangxue Xuebao/Acta Optica Sinica 34(2014).

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