Improvement of Adaptive GAs and Back Propagation ANNs Performance in Condition Diagnosis of Multiple Bearing System Using Grey Relational Analysis

Table 6

Comparison of performance between the AGAs-BPNNs and GRA-AGAs-BPNNs.

Number of dominant features selected	BPNNs topology	Training	Validation	Testing	CPU time
10 features	30-30-30-30-16	99.3%	91.7%	92.4%	2905.0
1 feature	3-3-3-3-16	41.5%	38.8%	36.2%	992.2
3 features	9-9-9-9-16	83.6%	80.4%	80.4%	1116.8
5 features	15-15-15-15-16	99.4%	97.1%	96.7%	1279.3
7 features	21-21-21-21-16	100.0%	94.6%	92.5%	1468.2
1 feature (the 10th feature)	3-3-3-3-16	28.7%	26.7%	26.3%	982.6
2 features (the 1st and the 10th features)	6-6-6-6-16	59.9%	52.9%	55.4%	1074.8