Recently more and more study in complex networks focus on the weighted networks.
加权网络更能体现人际网络的特点，为此研究了舆论在加权网络上的演化过程。
The evolving process of consensus based on the weighted networks is studied in this paper.
加权网络更能体现人际网络的特点，为此研究了舆论在加权网络上的演化过程。
The evolving process of consensus based on the weighted networks is studied in this paper.
在异步更新的方式下，研究了加权网络的权重更新系数、人员的自信度以及噪声对舆论演化的影响。
The purpose of this paper is to study the information spreading on weighted networks under the forget-remember mechanism(FRM).
本文拟在加权网络的基础上，研究遗忘回忆机制（FRM）对信息在该网络中传播的影响。
Then, using hierarchical weighted method, the evaluation results are regarded as the normalized abnormality value to evaluate the real time traffic of host networks.
其次，采用层次加权方法，并将评估结果作为归一化异常度值，对主机网络的实时流量进行评估。
Our main goal is to explore the application of neural networks to minimum weighted distance decoding.
本文旨在研究神经网络在最小加权距离译码中的应用。
The normalized port to port reliability index weighted by transmission capacity of communication network is very fit to evaluate modern high speed and wide band communication networks.
归一化传输容量加权通信网端到端可靠性指标，非常适合评价现代高速宽带通信网络。
We review recent progress in the research on weighted complex networks. In particular, we present our recent model of a traffic flow driven weighted technological network.
文章对含权复杂网络研究的最近进展给予了评述，特别报道了文章作者最近提出的一个交通流驱动的含权技术网络模型。
Firstly, we made a series researches on the weighted models of general transportation networks.
首先，本文对一般输运网络的加权模型做了一系列的相关研究。
We study an optimal growing mode for a class of weighted transportation networks on which data packets are exchanged between every pair of vertices along the optimal paths (OPs) connecting them.
我们研究这样一类权重网络的优化生长模式，在其上每两个节点之间的数据包的传送沿着优化路径进行。
For the sake of stressing the importance of some components when analyzing electronic circuits using the theory of complex networks, we consider the fact that the edges between nodes are weighted.
对电子电路进行复杂网络分析时，为了很好地体现有些元器件的重要性，本文引入了节点间连边加权的概念。
Consequently, the learning mechanism of the proposed approach is much easier than the robust support vector regression networks (RSVRNs) approach and the weighted LS-SVMR approach.
我们所提出的方法在整个学习架构上要比强健式支援向量机网路与权重式最小平方支援向量机回归法更简易。
Large networks attack can be researched base on the graph theory, because the character of its network connect and route of spread is related closely to weighted and oriented graph.
由于大规模网络入侵在网络连接上、传播路径上所体现出来的特性与图论中的赋权有向图有着共同的特性，这使得在图论的基础上进行大规模网络入侵检测的研究成为可能。
The characteristics of the new method are that:(1) building weighted fuzzy production rules and designing and training of neural networks and fuzzy reasoning are considered synthetically;
本方法的特点是：（1）将加权模糊产生式规则的产生与神经网络的建立、训练和模糊推理方法综合起来考虑；
The characteristics of the new method are that:(1) building weighted fuzzy production rules and designing and training of neural networks and fuzzy reasoning are considered synthetically;
本方法的特点是：（1）将加权模糊产生式规则的产生与神经网络的建立、训练和模糊推理方法综合起来考虑；
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