oalib

OALib Journal期刊

ISSN: 2333-9721

费用:99美元

投稿

时间不限

2017 ( 1 )

2016 ( 67 )

2015 ( 2623 )

2014 ( 2704 )

自定义范围…

匹配条件: “范艳峰” ,找到相关结果约36647条。
列表显示的所有文章,均可免费获取
第1页/共36647条
每页显示
The Model and Implementation of Agent-Based Distributed Spatial Data Mining
基于Agent的分布式空间数据挖掘模型及实现

甄彤,范艳
计算机科学 , 2004,
Abstract: 在分析数据挖掘、空间数据挖掘、Agent的概念和技术特点的基础上,提出了一种基于代理的分布式空间数据挖掘系统,描述了其实现方法,因为本系统只传送数据挖掘的中间结果,所以大大减少了网络的数据传输量,并加强了数据的安全性和保密性。
基于agent的分布式空间数据挖掘模型及实现
甄彤 范艳
计算机科学 , 2004,
Abstract: 在分析数据挖掘、空间数据挖掘、agent的概念和技术特点的基础上,提出了一种基于代理的分布式空间数据挖掘系统,描述了其实现方法,因为本系统只传送数据挖掘的中间结果,所以大大减少了网络的数据传输量,并加强了数据的安全性和保密性。
可信网络中一种考虑不确定性的节点信誉量化模型
范艳,杨志晓?
计算机科学 , 2011,
Abstract: 可信网络中节点信誉是一种重要而带有不确定性的信任关系。信誉及其聚合过程具有模糊性和随机性特征。云模型能够科学地描述节点信誉及其形成过程的不确定性。采用逆向云生成算法,揭示了节点信誉及其聚合过程在整个生命期的模糊性和随机性规律;获得其信誉云的数字特征值,指导在局部窗口内其信誉的量化。基于服务满意度评价的确定度值这一具有稳定倾向的随机数,结合衰减系数,设计了信誉度量化模型。模型中的权值是与满意度值有关的有稳定倾向的随机数。所提信誉量化模型切合开放网络信任关系的不确定性规律。仿真结果表明,与其它信誉量化模型相比,所提出的模型计算结果稳定,且具有较强的杭攻击性。
[0,∞]区间n范数的定义及生成定理
范艳,何华灿?
计算机科学 , 2010,
Abstract: 柔性逻辑学的研究目标是探索逻辑的一般规律,它指出命题真值误差用连续变化的广义自相关系数k∈[0,∞]来刻画。在柔性逻辑的不确定推理中,n范数是一级运算的数理模型。由于在现实生活中,很多逻辑推理控制必须在其自身的定义域内完成,因此以三角范数作为柔性逻辑学研究的数学工具,定义了[0,∞]区间上的n范数和n性生成元,并研究了相关主要性质;证明了n范数生成定理;给出了广义自相关系数的计算方法;证明了[0,∞]区间上指数(幂)型n性生成元为n性生成元完整簇;从而为柔性逻辑中[0,∞]区间的一级运算模型提供了重要的理论基础。
[0,∞)值柔性逻辑中平均运算模型的研究
杨志晓,范艳,何华灿?
计算机科学 , 2013,
Abstract: 在柔性逻辑中,不仅命题真值的连续可变性对命题连接词运算模型有影响,而且命题间关系的连续可变性对命题连接词运算模型也有影响。柔性逻辑中的逻辑算子是在其定义域上随广义自相关系数k和广义相关系数h连续变化的算子簇。详细研究了柔性逻辑平均算子,定义了[0,∞)值零级和一级柔性逻辑平均运算模型。为保证逻辑运算模型的零级完整性,该模型在其定义域内,从最大算子经过概率算子和中心算子,到最小算子单调连续变化,证明了该区间上的4个特殊算子形式。
Cloud model based mind interaction between human and virtual role
基于云模型的人—虚拟角色思想交互模型

FAN Yan-feng,YANG Zhi-xiao,
范艳
,杨志晓

计算机应用研究 , 2012,
Abstract: Non-verbal information such as emotion and motivation has important influence on human-virtual role interaction. This paper proposed a cloud-based human-virtual role interaction model. Taking respect as an example, it designed its cloud model with 3 levels and designed a cloud-based respect button. It also proposed an algorithm for cloud drop membership of respect button. It facilitated virtual role to understand respect extent considering uncertainties existed in human cognition. At last, the paper proposed a bow respect cloud based algorithm to randomly generate maximal bow angle and time pausing at the angle, described uncertainties of bow indicating respect. Analysis of proposed algorithms and synthesized interaction results show that proposed method is able to describe fuzziness and randomness of understanding non-verbal information in the interaction between human and virtual role.
Decision based on dynamic entropy gain of multi dimensional attributes in trusted networks
可信网络中基于动态信息增益的多维属性决策*

FAN Yan-feng,YANG Zhi-xiao,
范艳
,杨志晓

计算机应用研究 , 2012,
Abstract: Considering multiple trust relationships, the mind of classification was used for service licensing under multiple dimension attributes in trusted networks. Proposed a trusted decision model based on dynamic entropy gains of attributes. In the model, information entropy was to describe nondeterminacy levels of transaction samples and attributes. Entropy gain was to describe the informative level of each attribute. Adjusted entropy gain and weight of each attribute in the overall trust computation model dynamically with new samples by a moving window mechanism. Analysis to the model shows that the proposed overall trust model follows the rule that people differently rely on different factors in making trust decision. The model also can adaptively adjust itself according to the dynamic variation of node behavior in networks.
Sensitive and robust model of trust computation in trusted networks
可信网络中一种敏感鲁棒的信任计算模型

FAN Yan-feng,YANG Zhi-xiao,
范艳
,杨志晓

计算机应用研究 , 2011,
Abstract: This paper proposed a sensitive and robust trust computation model.At the stage for lack of direct transaction proofs,estimated an initial trust value based on recommendation trust or reputation.With the construction of new transactions and their accumulation,calculated trust by combining of the initial value and new transaction proofs,then transferred to the direct trust computation model,at last.It adopted a balancing coefficient to weaken risks in estimating initial trust values,and restricted them withi...
Cloud mapping and membership cloud of mapping
云映射和映射隶属云*

YANG Zhi-xiao,FAN Yan-feng,
杨志晓
,范艳

计算机应用研究 , 2012,
Abstract: In order to describe uncertainties and their variation between events, this paper proposed a concept of cloud mapping. For each element of definition domain, used a matched stochastic variable to convert it to a possible value space. Distribution features of the stochastic variable cluster in definition domain form feature functions, which indicated variation of uncertainties according to change of independent variable. This paper proposed a concept of membership cloud of mapping. Each element of definition domain has a cloud piece. All cloud pieces form membership cloud of mapping. Expected function, used entropy function, and hyper entropy function to describe variation of qualitative concept in the whole definition domain. This paper proposed algorithms for generating positive mapping cloud and reverse mapping cloud. Taking human memory law as an example, introduced effectiveness and possible application of proposed cloud mapping and mapping cloud.
Uncertainty control of head shaking for virtual human based on cloud model
基于云模型的虚拟人摇头动作不确定性控制

YANG Zhi-xiao,FAN Yan-feng,
杨志晓
,范艳

计算机应用研究 , 2011,
Abstract: Currently, certainty methods are adopted to synthesize body actions of virtual human or humanoid robot. However, the process people expressing deep information such as emotion, motivation, and mental state, etc. through body languages, has uncertainty characteristic of fuzziness and randomness. Cloud theory can integrate the two uncertainties. Taking the example of expressing negative information with head shaking of virtual human, three cloud models are designed, which are the maximal head shaking angle negative cloud, the head shaking times negative cloud, and the head shaking speed negative cloud. Their drops are generated by respective positive cloud generation algorithm, to obtain maximal head shaking angle, head shaking times, and head shaking speed. The three control parameters distribute normally around their respective expected value. Results of simulation experiment show that the proposed cloud-based head shaking algorithm can generate control curves of head shaking action serials with disciplinary differences. Feature values of the three kinds of cloud models are proposed.
第1页/共36647条
每页显示


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.