QQ客服 官方微博 反馈留言

	A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding.
	Deng, ZH; Zhang, XH; Liu, W; Cao, H
刊名	The International Journal of Advanced Manufacturing Technology
	2009
卷号	Vol.45 No.9-10页码:859-866
关键词	Backpropagation Camshafts Genetic algorithms Grinding (comminution) Grinding (machining) Neural networks Optimization
ISSN号	0268-3768
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6688977
专题	湖南大学
作者单位	1.Hunan Univ, Natl Engn Res Ctr High Efficiency Grinding, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Huda Haijie Mfg Technol Co Ltd, Changsha 410082, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Deng, ZH,Zhang, XH,Liu, W,et al. A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding.[J]. The International Journal of Advanced Manufacturing Technology,2009,Vol.45 No.9-10:859-866.
APA	Deng, ZH,Zhang, XH,Liu, W,&Cao, H.(2009).A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding..The International Journal of Advanced Manufacturing Technology,Vol.45 No.9-10,859-866.
MLA	Deng, ZH,et al."A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding.".The International Journal of Advanced Manufacturing Technology Vol.45 No.9-10(2009):859-866.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。