静态网络基本拓扑特性研究。

Basic research on static network topology characteristics.

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针对静态网络无法处理暂态问题，对具有递归环节的动态模糊神经网络进行了研究。

Since a static fuzzy neural network cannot deal with the temporal problem, a dynamic fuzzy neural network (DFNN) with recurrent units is proposed.

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容迟网络中的最大流问题被转化为静态网络中的问题，从而可用最大流方案进行求解。

With the method, a Delay-tolerant Network(DTN) max flow problem can be easily converted to a static network problem, and be solved by traditional algorithms.

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