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	Grinding Precision Forecasting in Optical Aspheric Grinding Using Artificial Neural Network and Genetic Algorithm
	Jiang Chen ; Guo Yinbiao ; Yang Qingqing ; Han Chunguang ; Guo YB(郭隐彪)
	2010
英文摘要	Conference Name:5th International Symposium on Advanced Optical Manufacturing and Testing Technologies - Advanced Optical Manufacturing Technologies. Conference Address: Dalian, PEOPLES R CHINA. Time:APR 26-29, 2010.; A new approach based on an artificial neural network (ANN) was presented for the prediction of machining precision of optical aspheric grinding. The ANN model is based on Globally Convergent Adaptive Quick Back Propagation algorithm (GCAOBP). A genetic algorithm (GA) was then applied to the trained ANN model to predict the gridding precision. The integrated GCAOBP-GA algorithm was successful in predicting the Root Mean Square of profile error (RMS) of optical aspheric workpiece in parallel grinding method using machining parameters. The results of experiments have shown that RMS of machined workpiece in parallel grinding can be predicted effectively through this approach.
语种	英语
出处	http://dx.doi.org/10.1117/12.864454
出版者	P SOC PHOTO-OPT INS
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85986]
专题	物理技术－会议论文
推荐引用方式 GB/T 7714	Jiang Chen,Guo Yinbiao,Yang Qingqing,et al. Grinding Precision Forecasting in Optical Aspheric Grinding Using Artificial Neural Network and Genetic Algorithm. 2010-01-01.

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