Table 3: Optimal weights of neural network in hybrid method.

Hidden layer neuronsInput neurons Output
neuron
Bias (input-hidden)Bias (hidden-output)
12345

1−6,612,65−8,75−1,335,44−11,656,31−72,62
2−0,78−2,555,75−5,050,030,10−7,15
30,82−1,3911,4215,771,7495,32−4,06
4−11,758,742,753,247,7410,75−8,36
51,320,581,51−5,395,72−60,09−8,33
6−0,29−0,590,25−3,59−5,53−1,63−5,80
70,688,742,304,72−0,58−66,45−8,72
80,700,13−16,37−39,04140,6594,49−58,77
9−0,050,323,014,68−6,32100,77−4,97
1010,60−10,53−5,430,85−5,278,807,26