Research Article
A New Hierarchical Temporal Memory Algorithm Based on Activation Intensity
Table 5
Prediction accuracy of different configurations on hyperparameter.
| | | Accuracy (%) | | α | ω | NAB | NYC-Taxi |
| | 0.1 | 3.5 | 89.5 | 91.7 | | 4.0 | 90.1 | 92.5 | | 4.5 | 93.1 | 93.8 | | 5.0 | 92.9 | 92.0 |
| | 0.3 | 3.5 | 96.3 | 96.2 | | 4.0 | 95.1 | 94.1 | | 4.5 | 94.7 | 96.7 | | 5.0 | 95.9 | 95.9 |
| | 0.5 | 3.5 | 97.8 | 97.9 | | 4.0 | 98.0 | 98.1 | | 4.5 | 98.1 | 97.7 | | 5.0 | 98.3 | 98.4 |
| | 0.7 | 3.5 | 98.0 | 96.8 | | 4.0 | 97.3 | 98.7 | | 4.5 | 96.7 | 97.7 | | 5.0 | 98.1 | 96.8 |
| | 0.9 | 3.5 | 94.2 | 94.1 | | 4.0 | 95.8 | 93.8 | | 4.5 | 94.6 | 92.6 | | 5.0 | 95.3 | 93.3 |
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