Table 3. Comparison of Different Algorithms in ANN Models.

no.	algorithms	hidden nodes	max. error %	training MSE × 102	testing MSE × 102
1	BFG	10	55%	0.164	1.651
2	CGB	10	50%	0.156	3.036
3	CGF	10	67%	0.078	12.848
4	CGP	10	67%	0.207	2.200
5	GD	10	86%	0.891	3.757
6	GDA	10	86%	0.541	2.107
7	GDM	10	95%	1.484	2.355
8	GDX	10	75%	4.641	3.462
9	LM	10	61%	0.082	263.479
10	OSS	10	55%	0.277	2.738
11	RP	10	61%	0.216	3.783
12	SCP	10	68%	0.178	19.883
13	BR	10	46%	0.162	5.245