an approximate approach to constraint solving in soft sensing

	an approximate approach to constraint solving in soft sensing
	Yang Tian; Liao Zaifei; Lu Xinjie; Wang Hongan
	2009
会议名称	24th Annual ACM Symposium on Applied Computing, SAC 2009
会议录名称	Proceedings of the ACM Symposium on Applied Computing
会议日期	37323
会议地点	Honolulu, HI, United states
出版地	United States
ISBN	9781605581668
部门归属	(1) Graduate University, Chinese Academy of Sciences, Beijing, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
摘要	Soft sensing is usually presented as a constraint solving problem. In a manufacturing context, traditional methods of soft sensing have to face challenges in robustness and efficiency. In this paper, we proposed a granular-based approach to constraint solving for soft sensing. In our method, we first construct a granular-based soft sensing model, then estimate bounds of each granule, and finally solve this granulated problem with a smaller size. According to our analysis, this method is robust and efficient. Copyright 2009 ACM.
关键词	Granular Computing Measurements Sensors
主办者	ACM SIGAPP
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8416
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Yang Tian,Liao Zaifei,Lu Xinjie,et al. an approximate approach to constraint solving in soft sensing[C]. United States,2009.