Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms

Table 12

Average weighted recognition rate (wrr) for the classic algorithms.

Classification problems	Descent gradient (one layer)	Descent gradient (two layers)	Levenberg-Marquardt (one layer)	Levenberg-Marquardt (two layers)
Spiral	0.50082	0.50137	0.5092	0.50137
Synthetic 1	0.74991	0.77044	0.79008	0.77728
Synthetic 2	0.54485	0.51442	0.69997	0.56248
Iris plant	0.93226	0.65226	0.97911	0.75626
Breast cancer	0.96769	0.94475	0.96926	0.95741
Diabetes	0.75786	0.7276	0.76526	0.7609
Liver disorders	0.60443	0.57651	0.67561	0.66258
Object recognition	0.74453	0.69413	0.98213	0.72746
Wine	0.98292	0.93378	0.96861	0.9791
Glass	0.70704	0.68535	0.78903	0.79838
Average wrr	0.74923	0.70006	0.81283	0.74832