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...
Main Authors: | , , |
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Format: | Article |
Language: | zho |
Published: |
Harbin University of Science and Technology Publications
2017-04-01
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Series: | Journal of Harbin University of Science and Technology |
Subjects: |