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Prediction Model of Network Security Situation based on Elman Neural Network
| Content Provider | Semantic Scholar |
|---|---|
| Author | Fei, Huayu |
| Copyright Year | 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 |
| Starting Page | 014 |
| Ending Page | 014 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| DOI | 10.22323/1.299.0014 |
| Volume Number | 299 |
| Alternate Webpage(s) | https://pos.sissa.it/299/014/pdf |
| Alternate Webpage(s) | https://doi.org/10.22323/1.299.0014 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |