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题名:
an approximate approach to constraint solving in soft sensing
作者: Yang Tian ; Liao Zaifei ; Lu Xinjie ; Wang Hongan
会议文集: Proceedings of the ACM Symposium on Applied Computing
会议名称: 24th Annual ACM Symposium on Applied Computing, SAC 2009
会议日期: 37323
出版日期: 2009
会议地点: Honolulu, HI, United states
关键词: Granular computing ; Measurements ; Sensors
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
主办者: ACM SIGAPP
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8416
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Yang Tian,Liao Zaifei,Lu Xinjie,et al. an approximate approach to constraint solving in soft sensing[C]. 见:24th Annual ACM Symposium on Applied Computing, SAC 2009. Honolulu, HI, United states. 37323.
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