Research Article
TSN Switch Queue Length Prediction Based on an Improved LSTM Network
Table 1
The parameter settings of LSTM.
| Input layer | Connection layer | Output layer |
| Length: 103 | Queue 1 | Queue 2 | Length: 100 | Layer | 1 | Layer | 1 | HiddenUnits | 200 | HiddenUnits | 400 | InitialLearnRate | 0.008 | InitialLearnRate | 0.005 | LearnRateDropPeriod | 100 | LearnRateDropPeriod | 100 | LearnRateDropFactor | 0.1 | LearnRateDropFactor | 0.2 | Queue 3 | Queue 4 | Layer | 1 | Layer | 1 | HiddenUnits | 150 | HiddenUnits | 180 | InitialLearnRate | 0.01 | InitialLearnRate | 0.008 | LearnRateDropPeriod | 100 | LearnRateDropPeriod | 100 | LearnRateDropFactor | 0.2 | LearnRateDropFactor | 0.2 |
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Queue 1 is taken as an example to demonstrate the training process, as shown in Figure 6. |