区域公路网络结构的几何模型及计算机实现、最短路的计算及其辨识在交通量预测中起着重要的作用。
The geometric model and computer programming of local highway network plays an important role in traffic estimate, as well as the calculation of shortcut and its reorganization.
最短路问题是网络最优化中重要和基本的内容。
The shortest path problem is an important and elementary content in optimum network.
系统实现了对监控目标的烟雾浓度，温度的实时监测，采用了基于最小跳数的路由协议，每个节点只需记忆自己的转发节点集，网络中的数据都是沿着最短路径进行传输。
It takes advantage of the routing protocol based on minimum hop, in which every node does only local routing maintenance, and data is transmitted along the shortest path.
为使问题的解能实时、可靠地完成，将一种用于最短路径计算的双层递归神经网络应用于路由选择的流量导数法中。
To make the solution be implemented reliably in real time, a neural network for shortest path computation that is a two-layer recurrent structure is applied to flow deviation method.
具体而言，本文主要针对社会网络中的实体匿名问题，最短路径查询问题，以及社团挖掘问题进行了深入研究。
Specifically, this dissertation mainly focuses on the problems of identity anonymization, shortest path query, and community detection in social networks.
最短路径问题是网络分析中最基本的问题，它作为许多领域中选择最优问题的基础，在交通网络分析系统中占有重要地位。
As the base of optimal selection problem in many fields, computing shortest paths over a network has become an important task in many transportation and network analyses systems.
我们构建了一个简单的模型研究大量粒子在具有有限节点容量的复杂网络中同时沿最短路径行走时的拥塞动力学过程。
We constructed a simple model to study the congestion dynamic triggered by multiple particles walking along the shortest path on complex networks which composed of nodes that have a finite capacity.
如在通信网络中，有时候某条线路中断，则需要找一个替代的方案，这就需要找到几条最短路以备不时之需。
If the communication network, and sometimes interrupted on certain routes, you need to find an alternative solution, which needs to find the shortest path for a rainy day a few.
如在通信网络中，有时候某条线路中断，则需要找一个替代的方案，这就需要找到几条最短路以备不时之需。
If the communication network, and sometimes interrupted on certain routes, you need to find an alternative solution, which needs to find the shortest path for a rainy day a few.
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