A method for Network Security Situation Prediction Based on CMA一RBF Model

A method for Network Security Situation Prediction Based on CMA一RBF Model

A method for network security situation prediction is proposed，where the covariance matrix adaptation evolution strategy algorithm(CMA-ES)is used to optimize the parameters of the radial basis neural network forecasting model(RBF)，which makes the forecasting model have superior ability, and C月n func...

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Bibliographic Details
Main Authors: YANG Ming, HU Guan-yu, LIU Qian
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2017-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
network security situatron prediction; covariance】】atrix adaptation evolution strategy algorithm; Radial basis function neural network; time Ser1eS prediction

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