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Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session I - Machine Learning
Prediction Model of Network Security Situation based on Elman Neural Network
H. Fei,* J. He
*corresponding author
Full text: pdf
Pre-published on: 2017 July 17
Published on: 2017 September 06
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
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