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LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
P2Pthesis
- 摘 : 通过使用 peer-to-peer(P2P)计算模式在 Internet 物理拓扑基础上建立一个称为 P2P 覆盖网络(P overlay network)的虚拟拓扑结构,有效地建立起一个基于 Internet 的完全分布式自组织网络路由模型 集中式自组织网络路由模型(hierarchical aggregation self-organizing network,简称 HASN).分别描述了 HASN 由模型的构建
ID3Algorithm_jianjie
- ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorith
Anthill-20020829
- Recent peer-to-peer (P2P) systems are characterized by decentralized control, large scale and extreme dynamism of their operating environment. As such, they can be seen as instances of complex adaptive systems (CAS) typi
pso_Methods_for_Pattern_Recognition_and_Image_Proc
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equ
1SelfOrganizingMap_Cluster
- 使用SOM(Self-Organization Map)進行資料分群，以載入座標點資料集及並以TChart分群顯示為例.
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organizat
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organizat
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
P2Pthesis
- 摘 : 通过使用 peer-to-peer(P2P)计算模式在 Internet 物理拓扑基础上建立一个称为 P2P 覆盖网络(P overlay network)的虚拟拓扑结构,有效地建立起一个基于 Internet 的完全分布式自组织网络路由模型 集中式自组织网络路由模型(hierarchical aggregation self-organizing network,简称 HASN).分别描述了 HASN 由模型的构建
ID3Algorithm_jianjie
- ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorith
Anthill-20020829
- Recent peer-to-peer (P2P) systems are characterized by decentralized control, large scale and extreme dynamism of their operating environment. As such, they can be seen as instances of complex adaptive systems (CAS) typi
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类 中局部进行。-LVQ (learning vector quantization) algorithm: it is the Kohonen s supervised the expansion of the form of learning. Bl
pso_Methods_for_Pattern_Recognition_and_Image_Proc
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equ
somnet
- 竞争学习指同一神经元层次上各个神经元相互之间进行竞争，竞争胜利的神经元修改与其相联的连接权值。竞争学习是一种无监督学习。在无监督学习中，只向网络提供一些学习样本，而不提供理想的输出。网络根据输入样本进行自组织，并将其划分到相应的模式类中。 -Competitive learning refers to the same level in all neurons neurons compete with each other, com
stat_test
- 基于opnet的自编统计量测试代码，对使用opnet中的API函数的统计量函数-OPNET based on statistics of self-test code, the use of OPNET in the Statistics API function function
ClusteringanalysisbasedonSOFMnetwork
- 基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural ne
P2P-network-self-organization-semantic-clustering-
- 自组织P2P网络的语义聚类查询算法P2P network self-organization semantic clustering query algorithm-P2P network self-organization semantic clustering query algorithm
self-organization-map
- 自组织映射神经网络是一类新异类分类方法，可以较好的解决一类分类问题！-The self-organizing map neural network is a new class of heterogeneous classification, a classification can be a better solution!
Self-organization-covering-algorithm
- 针对随机部署的无线传感器节点，提出一种基于虚拟力的自组织覆盖算法。将排斥力、引力、边界约束力这 3 种虚拟力作用于网 络中的每个节点，使聚集在一起的节点分散开，引入节点间距离的阈值、边界节点与边界距离的阈值实现对感兴趣区域的最大覆盖。实验 结果表明，该算法在保证连通性的基础上有效扩大了覆盖区域，具有较强实用性。 -This paper presents a self-organization coverage algori