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| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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