Prediction Model of Network Security Situation based on Elman Neural Network
Huayu Fei, Jun Yi Derek He · 2017
To improve the prediction accuracy of time sequence data, this paper presents a model based on Elman neural network optimized by Genetic Algorithm. We initialized the parameters with GA, and then train the network. After training, we simulated the results with the ultimate model, and evaluate the performance between different algorithms. The experiment indicated that GA-Elman can improve the accuracy of prediction