The Wireless Sensor Network (WSN), because of its self-organizing characteristic, robustness and huge quantity of nodes, is perfectly suitable for target tracking.

无线传感器网络由于其自组织性、鲁棒性及节点数量巨大的特点，非常适合于目标跟踪。

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The effect of samples training on BP neural network performance with the clustering characteristic of self-organizing competitive network is improved.

通过自组织竞争网络的聚类特征，改善样本训练对BP网络性能的影响。

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Wireless sensor networks with data-centric, self-organizing, can rapid deployment wait for a characteristic, very suitable for the application of some special occasions.

无线传感器网络具有以数据为中心、自组织、可快速部署等特点，非常适合一些特殊场合的应用。

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