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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering Ministry of Education"
913 条 记 录,以下是731-740 订阅
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An Algorithm Based on Resolution for the Satisfiability Problem
An Algorithm Based on Resolution for the Satisfiability Prob...
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The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
作者: Youjun Xu Dantong Ouyang Yuxin Ye College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
The satisfiability problem is the core problem in artificial intellgence. The algorithm directional resolution(DR) is a well known method based on resolution for satisfiability problem. But the number of clauses has g... 详细信息
来源: 评论
LLA: A New High Precision Mobile Node Localization Algorithm Based on TOA
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Journal of Communications 2010年 第8期5卷 604-611页
作者: Li, Ruixue Fang, Zhiyi College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
Mobile node localization is one of the challenging and crucial issues in wireless sensor networks. The paper proposed a new approach to mobile localization, called LLA (Lee Localization Algorithm), to mitigate TOA mea... 详细信息
来源: 评论
RMADV-Hop: An Improved DV-Hop Localization Algorithm
RMADV-Hop: An Improved DV-Hop Localization Algorithm
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International Conference on Information Technology: New Generations (ITNG)
作者: Tingting Yi Zhiyi Fang Ruixue Li Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun China
In recent years, with the development of the wireless sensor networks, the localization method receives the attention of many researchers. However, due to the network cost and characteristics of sensor nodes, most of ... 详细信息
来源: 评论
Model counting with boolean algebra and extension rule
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Journal of Convergence Information Technology 2010年 第7期5卷 7-7页
作者: Xu, Youjun Ouyang, Dantong Ye, Yuxin College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
Model counting is an important problem in artificial intelligence and is applied in several areas of information science. Extension rule is a method which could be used to count models. But it's not appropriate wh... 详细信息
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Solving SAT Problem with Boolean Algebra
Solving SAT Problem with Boolean Algebra
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Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST)
作者: Youjun Xu Dantong Ouyang Yuxin Ye Jialiang He Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN
The satisfiability (SAT) problem is an important problem of automated reasoning. In the past decades, many methods of SAT are proposed, such as method based on resolution, method based on tableau and method based on e... 详细信息
来源: 评论
A modal representation of RCC62
A modal representation of RCC62
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International Conference on Computer Sciences and Convergence Information Technology (ICCIT)
作者: Qian Fu Ji-hong Ouyang Da-you Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN
The major problem in developing a useful formalism for reasoning about spatial information is the trade off between expressive power and computational tractability. Based on Bennett's modal representation of conve... 详细信息
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An Improved Particle Swarm Algorithms for Global Optimization
An Improved Particle Swarm Algorithms for Global Optimizatio...
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International Conference on Machine Vision and Human-Machine Interface (MVHI)
作者: Ye Tian Dayou Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN
Particle swarm optimization (PSO) algorithm is a robust and efficient approach for solving complex real-world problems. In this paper, a modified particle swarm algorithm (IMPSO) is introduced for unconstrained global... 详细信息
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A Novel Approach for Modeling Direction Relations Between Uncertain Regions
A Novel Approach for Modeling Direction Relations Between Un...
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International Conference on Machine Vision and Human-Machine Interface (MVHI)
作者: Yiqun Dong Dayou Liu Fang Wang Ye Tian Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN
Conventional models based on crisp regions can not deal with the Direction Relations between Uncertain Regions (DRUR). Using broad boundary to represent the uncertain boundary, a novel approach is proposed based on mo... 详细信息
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A self-adaptive differential evolution algorithm for binary CSPs
A self-adaptive differential evolution algorithm for binary ...
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International Conference on Natural Computation
作者: Fu, Hongjie Ouyang, Dantong Xu, Jiaming Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China College of Computer Science and Technology Jilin University Changchun China College of Computer Science and Technology Jilin Teachers Institute of Engineering and Technology Changchun China College of Software Northeast Normal University Changchun China
A novel self-adaptive differential evolution (SADE) algorithm is proposed in this paper. SADE adjusts the mutation rate F and the crossover rate CR adaptively, taking account of the different distribution of populatio... 详细信息
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Solving SAT Problem with a Revised Hitting Set Algorithm
Solving SAT Problem with a Revised Hitting Set Algorithm
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The 2010 2nd International Conference on Future Computer and Communication(第二届未来计算机与通信国际会议 ICFCC 2010)
作者: Youjun Xu Dantong Ouyang Yuxin Ye Jialiang He College of Computer Science and Technology Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun China
The satisfiability(SAT) problem is a core problem of artificial intelligence. Research findings in SAT are widely used in many areas. The main methods solving SAT problem are resolution principle, tableau calculus and... 详细信息
来源: 评论