机构

• 长春光学精密机械与物... [2]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2014 [1]
• 2012 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Data structure for on-lattice cluster-cluster aggregation model performance optimization 期刊论文  OAI收割 COMPUTER PHYSICS COMMUNICATIONS, 2014, 卷号: 185, 期号: 3, 页码: 836-840 Xiong, Hailing; Li, Hang; Chen, Weiping; Wu, Laosheng 收藏  |  浏览/下载：25/0  |  提交时间：2015/03/23 Data structure  On-lattice simulation  Metropolis sampling  Cluster cluster aggregation  Computational complexity   Research on satellite platform vibration compensation method based on liquid crystal steering system (EI CONFERENCE) 会议论文  OAI收割 2011 SSITE International Conference on Future Material Research and Industry Application, FMRIA 2011, December 1, 2011 - December 2, 2011, Macau, China 作者:  Wen M. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 This paper presents the disturbance compensation scheme based on liquid crystal steering system according to the problem that satellite platform vibration affects the tracking and pointing accuracy in space optical communication. The mathematical model of liquid crystal steering system is built. For improving convergence speed  the adaptive controller based on posteriori estimation errors RLS lattice filter is designed  which not only achieves fast adaptation  but also reaches optimal steady-state disturbance compensation. Finally  the simulation results show that this control scheme is valid and feasible. (2012) Trans Tech Publications  Switzerland.   Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文  OAI收割 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia 作者:  Zhang D.;  Zhang D. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science  cognitive science  artificial intelligence and others. In our study  a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally  the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.