an approximate approach to constraint solving in soft sensing
文献类型：会议论文
| 作者 | Yang Tian ; Liao Zaifei ; Lu Xinjie ; Wang Hongan |
| 出版日期 | 2009 |
| 会议名称 | 24th Annual ACM Symposium on Applied Computing, SAC 2009 |
| 会议日期 | 37323 |
| 会议地点 | Honolulu, HI, United states |
| 关键词 | Granular computing Measurements Sensors |
| 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. |
| 会议主办者 | ACM SIGAPP |
| 会议录 | Proceedings of the ACM Symposium on Applied Computing
 |
| 会议录出版地 | United States |
| ISBN号 | 9781605581668 |
| 源URL | [http://124.16.136.157/handle/311060/8416]  |
| 专题 | 软件研究所_人机交互技术与智能信息处理实验室_会议论文 |
| 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]. 见:24th Annual ACM Symposium on Applied Computing, SAC 2009. Honolulu, HI, United states. 37323. |
入库方式： OAI收割
来源：软件研究所
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