 |
This slide presents the experimental results for a CNN-LSTM model, which achieved an accuracy of 88.09%. The graphs depict the model's performance over 200 epochs. The left graph shows the training and validation loss decreasing over time, indicating the model is learning effectively. The right graph displays the training and validation accuracy, both of which stabilize at high levels as the epochs increase, demonstrating that the model is performing well at classifying the data. Compared to the previous VAE model, the CNN-LSTM shows a significant improvement in accuracy, suggesting it is better suited for this particular anomaly detection task. |
IEEE/ICACT20240043 Slide.13
[Big Slide]