机构

• 长春光学精密机械与物... [2]
• 心理研究所 [1]
• 自动化研究所 [1]
• 文献情报中心 [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [3]
• 期刊论文 [2]

发表日期

• 2024 [1]
• 2013 [1]
• 2012 [2]
• 2009 [1]

学科主题

• Cognitive ... [1]

筛选

浏览/检索结果: 共5条，第1-5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 A Service-Oriented Autonomous Crane System 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 16 作者:  Xiong, Guangyu;  Helo, Petri;  Ekstrom, Steve;  Shen, Zhen   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/09/09 Cranes  Industries  Business  Safety  Maintenance  Machinery  Manufacturing  Artificial intelligence (AI)-powered technology  crane business value chain (CBVC)  service-oriented autonomous crane system  service-oriented concept  social manufacturing concept   The roles of cognitive and motivational predictors in explaining school achievement in elementary school 期刊论文  OAI收割 LEARNING AND INDIVIDUAL DIFFERENCES, 2013, 卷号: 25, 页码: 85-92 作者:  Weber, Heike S.;  Lu, Liping;  Shi, Jiannong;  Spinath, Frank M. 收藏  |  浏览/下载：23/0  |  提交时间：2015/05/19 School achievement  Intelligence  Working memory  Self-perceived ability  Intrinsic value   Identify the Intelligence Value of the Web Resource Based on Knowledge Object Grid 会议论文  OAI收割 2st global techmining conference, montreal, quebec, canada., 2012-9-5 作者:  Liu JH(刘建华);  Xie J(谢靖);  Qian L(钱力);  Zhang ZX(张智雄);  Zou YM(邹益民) 收藏  |  浏览/下载：21/0  |  提交时间：2013/01/07 Research Profiling  Intelligence Value  Knowledge Object Grid  Knowledge Extraction   Moving target detection and classification using spiking neural networks (EI CONFERENCE) 会议论文  OAI收割 2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011, October 23, 2011 - October 25, 2011, Xi'an, China 作者:  Sun H.;  Wang Z.;  Wang Z.;  Wang P.;  Sun H. 收藏  |  浏览/下载：46/0  |  提交时间：2013/03/25 We proposed a spiking neural network (SNN) to detect moving target in video streams and classify them into real categorization in this paper. The proposed SNN uses spike trains to encoding information such as the gray value of pixels or feature parameters of the target  detects moving target by simulating the visual cortex for motion detection in biological system with axonal delays and classify them into different categorizations according to their distance to categorization's centers found by Hebb learning rule. The experimental results show that the proposed SNN is promising in intelligence computation and applicable in general visual surveillance system. 2012 Springer-Verlag.   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.