An Artificial Intelligence System to Predict Quality of Service in Banking Organizations

Table 1

Experimental comparison between different nonevolutionary techniques and GS-GP. Median of the training error and test error (RMSE) calculated over independent runs.

Method	Training error	Test error
Least square regression [16]	0.127	0.126
Radial basis function network [17]	0.122	0.121
Multilayer perceptron [17]	0.068	0.138
Isotonic regression [18]	0.103	0.103
GS-GP	0.0908	0.0924