Design and Application of Deep Belief Network Based on Stochastic Adaptive Particle Swarm Optimization

Table 1

Heterogeneous particle swarm DBN diagnosis results.

Method	PSO-DBN	APSO-DBN	RSAPSO-DBN
Number of hidden layer nodes	15	15	15
Learning rate	0.0902	0.0842	0.095
Momentum parameter	0.8965	0.9356	0.8462
Recognition accuracy	81.75%	83%	87%