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中文摘要：
一个按需的分布式的聚类算法基于神经网络被建议。为每个节点的系统参数和联合重量被计算，并且簇头用加权的聚类算法被选择，然后，一个训练集合被创造，一个神经网络被训练。在这个算法，几个系统参数被考虑，例如理想的节点度，传播力量，活动性和节点的电池力量。算法能直接被使用测试一个节点是否是一个簇头。而且，簇娱乐能被加快。
英文摘要：
An on-demand distributed clustering algorithm based on neural network was proposed. The system parameters and the combined weight for each node were computed, and cluster-heads were chosen using the weighted clustering algorithm, then a training set was created and a neural network was trained. In this algorithm, several system parameters were taken into account, such as the ideal node-degree, the transmission power, the mobility and the battery power of the nodes. The algorithm can be used directly to test whether a node is a cluster-head or not. Moreover, the clusters recreation can be speeded up.
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