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The method of classifying the traffic dynamic characteristic of network communication making use of the network which has the pulse neuron

机译:利用具有脉冲神经元的网络对网络通信流量动态特性进行分类的方法

摘要

A method classifies the traffic dynamism of a network communication using a network that contains pulsed neurons. Traffic data of the network communication are used as the input variables of the neuronal network. Temporal clusters obtained by processing the pulses are used as the output variables of the neuronal network. The traffic dynamism is classified by a synaptic model whose dynamism depends directly on the exact clocking of pre- or post-synaptic pulses.
机译:一种方法使用包含脉冲神经元的网络对网络通信的流量动态进行分类。网络通信的流量数据用作神经网络的输入变量。通过处理脉冲获得的时间簇被用作神经元网络的输出变量。交通动态是通过突触模型分类的,其动态性直接取决于突触前或突触后脉冲的精确计时。

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