Research Article
An LSTM-Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data
Table 14
LSTM-AE result on test dataset performance with baseline model comparison (created by authors).
| | Model architecture | Loss function | Activation function | Optimizer | Accuracy | Precision | Recall | F1 |
| | GRU | Mean square error | SoftMax | Adam | 87% | 87% | 52% | 65% | | GRU-1 | Sparse categorical cross entropy | Sigmoid | Adam | 99% | 100% | 98% | 99% | | GRU-2 | Sparse categorical cross entropy | SoftMax | Adam | 99% | 99% | 99% | 99% | | Stacked GRU | Sparse categorical cross entropy | SoftMax | Adam | 99% | 98% | 100% | 99% | | LSTM | Sparse categorical cross entropy | Sigmoid | Adam | 97% | 100% | 97% | 98% | | LSTM-1 | Sparse categorical cross entropy | SoftMax | Adam | 99% | 100% | 98% | 99% | | Stacked LSTM | Sparse categorical cross entropy | SoftMax | Adam | 99% | 100% | 99% | 99% | | LSTM- Autoencoder | Sparse categorical cross entropy | SoftMax | Adam | 100% | 100% | 100% | 100% |
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