Research on Network Security Situation Prediction Based on Improved and Optimized BP Neural Network
Zhongqiu Zhang · 2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT) · 2021
For the sake of better mastering the dynamic changes of network security, in view of its nonlinear time series characteristics, this paper proposes a combination of genetic algorithm and simulated annealing algorithm to improve and optimize the BP neural network. After trial and error, the model was constructed and applied to actual predictions. The results reflect BP neural network on the basis of genetic simulated annealing(GSA-BP) algorithm is effective in predicting the situation of network security.