Table 1.

Hyper-parameters setting of comparative RBFNN based models.

Hyper-Parameter	RI-RBFNN	RI-RBFNN	SA-RBFNN
Epochs	100	100	100
Learning rate	0.01	0.01	0.01
Batch size	80	80	80
Number of clusters centers	15, 20, 25, 30, 35, 40	15, 20, 25, 30, 35, 40	15, 20, 25, 30, 35, 40
Number of input layer nodes	9	9	9
Number of output layer nodes	1	1	1
Number of hidden units	15, 20, 25, 30, 35, 40	15, 20, 25, 30, 35, 40	15, 20, 25, 30, 35, 40
Range of spread factors	0.16, 0.58, 0.36, 0.98, 0.47, 0.25	0.383, 0.333, 0.301, 0.274, 0.256, 0.245	Shown in Figure 4