Design Feed Forward Neural Network to Solve Singular Boundary Value Problems

Table 4

Weight and bias of the network for different training algorithm Example 1.

(a)

Weights and bias for trainlm
Net.IW{1, 1}	Net.LW{2, 1}	Net.B{1}
0.2858	0.0759	0.1299
0.7572	0.0540	0.5688
0.7537	0.5308	0.4694
0.3804	0.7792	0.0119
0.5678	0.9340	0.3371

(b)

Weights and bias for trainbfg
Net.IW{1, 1}	Net.LW{2, 1}	Net.B{1}
0.4068	0.8334	0.2601
0.1126	0.4036	0.0868
0.4438	0.3902	0.4294
0.3002	0.3604	0.2573
0.4014	0.1403	0.2976

(c)

Weights and bias for trainbr
Net.IW{1, 1}	Net.LW{2, 1}	Net.B{1}
0.1696	0.8803	0.4075
0.2788	0.4711	0.8445
0.1982	0.4040	0.6153
0.1951	0.1792	0.3766
0.3268	0.9689	0.8772