Research Article
Design and Application of Deep Belief Network Based on Stochastic Adaptive Particle Swarm Optimization
Table 3
Structural parameters of heterogeneous particle swarm DBN.
| Method | PSO-DBN | APSO-DBN | RSAPSO-DBN |
| Number of hidden layer nodes | 15 | 18 | 16 | Learning rate | 0.0536 | 0.0236 | 0.0167 | Momentum parameter | 0.943 | 0.8931 | 0.8762 | Recognition accuracy | 90a.75% | 88.25% | 93.75% |
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