中国科学院机构知识库网格系统: 检索

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	Brain topology improved spiking neural network for efficient reinforcement learning of continuous control 期刊论文 OAI收割 FRONTIERS IN NEUROSCIENCE, 2024, 卷号: 18, 页码: 11 作者: Wang, Yongjian; Wang, Yansong; Zhang, Xinhe; Du, Jiulin; Zhang, Tielin \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2024/09/09 spiking neural network brain topology hierarchical clustering reinforcement learning neuromorphic computing
	Group-Consensus of Hierarchical Containment Control for Linear Multi-Agent Systems 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1462-1474 作者: Jingshu Sang; Dazhong Ma; Yu Zhou \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2023/05/29 Group-consensus behavior hierarchical containment control linear multi-agent systems three-layer topology
	MIMIC: an optimization method to identify cell type-specific marker panel for cell sorting 期刊论文 OAI收割 BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 6, 页码: 14 作者: Zou, Meng; Duren, Zhana; Yuan, Qiuyue; Li, Henry; Hutchins, Andrew Paul \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/04/02 cell type-specific marker TFs surface markers dimension reduction hierarchical topology
	Distributed Fault-Tolerant Containment Control for Nonlinear Multi-Agent Systems Under Directed Network Topology via Hierarchical Approach 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 806-816 作者: Shuyi Xiao; Jiuxiang Dong \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/04/09 Adaptive fault-tolerant control directed network topology distributed control hierarchical control multi-agent systems (MASs)
	HyperFatTree: A Large-Scale Tree-Based Network with Low-Radix Switches 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2017, 卷号: 45, 期号: 1, 页码: 172-184 作者: Su, Yong; Wang, Zhan; Fan, Zhiguo; Cao, Zheng; Liu, Xiaoli \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2019/12/12 High energy efficiency Hierarchical topology Low-radix switch Large scale interconnecting network
	RFID network planning using a multi-swarm optimizer 期刊论文 OAI收割 JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2011, 卷号: 34, 期号: 3, 页码: 888-901 作者: Chen HN(陈瀚宁); Zhu YL(朱云龙); Hu KY(胡琨元); Ku T(库涛) 收藏 \| 浏览/下载：26/0 \| 提交时间：2012/05/29 RFID network planning Multi-swarm Hierarchical interaction topology PSO PS(2)O
	The costs prediction of AOD furnace based on improved RBF neural network (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 Na T.; Zhang D.-J.; Hui L. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In order to predict the cost a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy which indicated that it was applicable to predict the cost by the model. 2010 IEEE.
	Discrete and continuous optimization based on multi-swarm coevolution 期刊论文 OAI收割 NATURAL COMPUTING, 2010, 卷号: 9, 期号: 3, 页码: 659-682 作者: Chen HN(陈瀚宁); Zhu YL(朱云龙); Hu KY(胡琨元) 收藏 \| 浏览/下载：24/0 \| 提交时间：2012/05/29 Multi-swarm Coevolution Symbiosis Hierarchical interaction topology PSO PS(2)O
	An effective algorithm for hierarchical network topology connectivity check 会议论文 OAI收割 2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings, Hangzhou, China, December 4, 2010 - December 6, 2010 Wang Shaohua; Zhong Ershun; Ma Haibo; Li Kai; Zhang Xiaohu; Zheng Huaihai 收藏 \| 浏览/下载：32/0 \| 提交时间：2012/09/01 Algorithms Electric network topology Information science Road network Time complexity Topological networks Motor transportation Connectivity Effective algorithms Excellent performance Heuristic search Hierarchical network Large graphs Path-planning