Table 13: Results obtained from training neural network, 𝐍 𝐍 D L S with different number of hidden neurons.

Input setNo. of hidden neuronsAverage 𝑟 𝐶 𝐴 Average 𝑟 𝐸 2 Average 𝑟 𝐸 1

GFFG164.470.4435.09
264.250.4435.71
364.030.4435.53
464.250.4435.31
564.250.4435.31
664.250.4435.31

GFFGA164.030.4435.53
264.030.4435.53
364.030.4435.53
464.030.4435.53
564.030.4435.53
664.030.4435.53

GFFG-q164.470.2235.31
264.470.2235.31
364.690.2235.09
464.470.2235.31
564.250.2235.53
664.470.2235.31

GFFGA-q164.690.2235.09
264.250.2235.53
363.820.2235.96
464.250.4435.31
564.470.4435.09
664.250.2235.53

GFFG-sq163.820.0036.18
263.820.0036.18
363.820.0036.18
463.820.0036.18
563.820.0036.18
663.820.0036.18

GFFGA-sq164.040.0035.96
264.040.0035.96
364.040.0035.96
464.040.0035.96
564.040.0035.96
664.040.0035.96