Adversarial network data generation method and abnormal event detection method
A technology of network data and abnormal events, applied in the application field of abnormal event detection, can solve the problems of low frequency and poor data generation effect, achieve the effect of reducing classification error and improving detection performance
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Embodiment 1
[0059] The method for generating adversarial network data in this embodiment uses exponential information measures to design the objective function of generating an adversarial network and its corresponding optimization method, thereby guiding the adversarial network to generate data.
[0060] Wherein, the equation of the objective function is:
[0061]
[0062] The corresponding optimization method is:
[0063]
[0064] Among them, D is the discriminator, G is the generator, and both the discriminator and the generator are neural networks; x and z are the inputs of the discriminator and the generator respectively; P r , P z Respectively, the probability distribution of the real data, the probability distribution of the data generated by the generator, and the probability distribution of the input data of the generator; Respectively represent the items in [] about the distribution P r , P z average calculation
[0065] Step 1: Experimental data preparation and ...
Embodiment 2
[0078] This embodiment is based on the abnormal event detection method against the network, including:
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