为解决智能交通系统中交通运输网络分析和最短路径问题，提出加权标识s -图最短路径算法。
In order to solve the intelligent transportation system in transportation network analysis and the shortest path problem, this paper proposes a weighted identification S-graph shortest path algorithm.
通过将特征点匹配问题转化为优化问题，该网络可以实现对目标识别问题的求解。
Transforming the feature points matching problem into the optimization problem, the network can complete the function of the object recognition.
节点定位问题是传感器网络进行目标识别、监控、跟踪等众多应用的前提，对其研究具有非常重要的意义。
Localization is the precondition of many applications of sensor networks, such as target identification surveillance and tracking. Therefore, it is important to make research on it.
为了解决图像制导导弹目标识别实时性的问题，给出了基于SOM -BP人工神经网络方法。
Aiming at the real time ability of TV guide missile target establishing, in this paper the new method is established based on SOM-BP artificial neural network.
为了解决图像制导导弹目标识别实时性的问题，给出了基于SOM -BP人工神经网络方法。
Aiming at the real time ability of TV guide missile target establishing, in this paper the new method is established based on SOM-BP artificial neural network.
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