中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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Enhancing Short Track Speed Skating Performance through Improved DDQN Tactical Decision Model 期刊论文  OAI收割
SENSORS, 2023, 卷号: 23, 期号: 24, 页码: 12
作者:  
Yang, Yuanbo;  Li, Feimo;  Chang, Hongxing
  |  收藏  |  浏览/下载:17/0  |  提交时间:2024/02/22
Potential risk of soil erosion on the Tibetan Plateau during 1990-2020: Impact of climate change and human activities 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 12
作者:  
Tian, Qilong;  Zhang, Xiaoping;  He, Jie;  Yi, Haijie;  He, Liang
  |  收藏  |  浏览/下载:14/0  |  提交时间:2023/10/09
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply-Demand Balance Control 期刊论文  OAI收割
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 18
作者:  
Shang, Chunlin;  Zhu, Fenghua;  Xu, Yancai;  Liu, Xiaoming;  Jiang, Tianhua
  |  收藏  |  浏览/下载:17/0  |  提交时间:2023/11/17
Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135
作者:  
Xiaoli Wang;  Luming Liu;  Lian Duan;  Qian Liao
  |  收藏  |  浏览/下载:14/0  |  提交时间:2023/09/22
Three-reference-point based group ELECTRE III method for urban flood resilience evaluation 期刊论文  OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 19
作者:  
Tu, Yan;  Shi, Hongwei;  Chen, Kai;  Liang, Yingying;  Zhou, Xiaoyang
  |  收藏  |  浏览/下载:34/0  |  提交时间:2023/02/07
Evaluation and analysis of provincial differences in resources and environment carrying capacity in china 期刊论文  iSwitch采集
Chinese geographical science, 2016, 卷号: 26, 期号: 4, 页码: 539-549
作者:  
Cheng Jingyao;  Zhou Kan
收藏  |  浏览/下载:44/0  |  提交时间:2019/05/09
Evaluation and analysis of provincial differences in resources and environment carrying capacity in China SCI/SSCI论文  OAI收割
2016
作者:  
Cheng J. Y.;  Zhou, K.;  Chen, D.;  Fan, J.
收藏  |  浏览/下载:23/0  |  提交时间:2016/12/16
Evaluation and analysis of provincial differences in resources and environment carrying capacity in China SCI/SSCI论文  OAI收割
2016
作者:  
Cheng J. Y.;  Zhou, K.;  Chen, D.;  Fan, J.
  |  收藏  |  浏览/下载:27/0  |  提交时间:2017/11/09
An electro-optical tracking method in target separation based on fuzzy clustering association rules (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Guo T.-J.; Gao H.-B.; Zhang S.-M.; Wu Y.-J.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation  the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation  the theoretical trajectory of the target is corrected by the error correcting value firstly  and then the fuzzy clustering association algorithm is applied to calculate the similarity between the measuring data of the target from sensors and the corrected theoretical trajectory. The similarity helps to identify whether the measured data is from the real target or not. Experimental results show that the authenticity of the target can be determined effectively. The identified results can be used as the decision-making basis of the servo sub-system and TV trackers  which can improve the continuous tracking probability of the electro-optical tracking system in the target separation. 2010 IEEE.  
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:31/0  |  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.