Research Article
An LSTM-Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data
Table 12
Model dimensions and operations view for stacked LSTM employing SoftMax layer (created by authors).
| Operation | | Data | Dimensions | Weights () | Weights (%) |
| Input | ##### | 2 | 259 | | | LSTM | LLLLL | — | — | 62,200 | 60.5% | tanh | ##### | 2 | 50 | | | Dropout | ||| | — | — | 0 | 0.0% | | ##### | 2 | 50 | | | LSTM | LLLLL | — | — | 20,200 | 19.7% | tanh | ##### | 2 | 50 | | | Dropout | ||| | — | — | 0 | 0.0% | | ##### | 2 | 50 | | | LSTM | LLLLL | — | — | 20,200 | 19.7% | tanh | ##### | | 50 | | | Dropout | ||| | — | — | 0 | 0.0% | | ##### | | 50 | | | Dense | XXXXX | — | — | 102 | 0.1% | SoftMax | ##### | | 2 | | |
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