METHOD FOR CLASSIFYING THE TRAFFIC DYNAMISM OF A NETWORK COMMUNICATION USING A NETWORK THAT CONTAINS PULSED NEURONS

摘要

The invention relates to a method for classifying 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 means of a synaptic model whose dynamism depends directly on the exact clocking of pre- or post-synaptic pulses.