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
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Pre-published on:
July 17, 2017
Published on:
September 06, 2017
Abstract
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
DOI: https://doi.org/10.22323/1.299.0014
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Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.