Research Article

A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition

Table 3

The best 10 results (test #1, ear).

TrialImagesNumber of hidden layers and number of neuronsPersons per moduleRec.
rate
Error
TrainingTesting

180%
(1, 2, and 3)
20%
()
5 (126, 96, 179, 239, 37)
4 (188, 196, 93, 171)
5 (109, 107, 110, 168, 29)
Module #1 (1 to 12)
Module #2 (13 to 40)
Module #3 (41 to 77)
100%
(77/77)
0

269%
(2, 3 and 4)
31%
()
5 (222, 238, 113, 27, 75)
4 (151, 53, 99, 79)
2 (209, 31)
2 (144, 71)
4 (30, 218, 194, 199)
4 (25, 81, 239, 20)
5 (237, 43, 83, 102, 128)
Module #1 (1 to 5)
Module #2 (6 to 21)
Module #3 (22 to 31)
Module #4 (32 to 46)
Module #5 (47 to 63)
Module #6 (64 to 73)
Module #7 (74 to 77)
100%
(77/77)
0

366%
(2, 3, and 4)
34%
()
5 (141, 70, 120, 158, 242)
4 (124, 55, 23, 243)
3 (96, 186, 213)
4 (28, 62, 51, 42)
1 (223)
Module #1 (1 to 34)
Module #2 (35 to 40)
Module #3 (41 to 44)
Module #4 (45 to 75)
Module #5 (76 to 77)
100%
(77/77)
0

474%
(2, 3, and 4)
26%
()
5 (139, 97, 200, 121, 231)
5 (204, 114, 164, 216, 138)
5 (195, 137, 124, 71, 86)
5 (144, 70, 92, 220, 63)
5 (119, 176, 154, 167, 161)
4 (199, 162, 96, 65)
Module #1 (1 to 6)
Module #2 (7 to 29)
Module #3 (30 to 50)
Module #4 (51 to 58)
Module #5 (59 to 71)
Module #6 (72 to 77)
100%
(77/77)
0

563%
(2, 3, and 4)
37%
()
5 (136, 183, 149, 193, 161)
5 (181, 132, 175, 140, 155)
Module #1 (1 to 68)
Module #2 (69 to 77)
100%
(77/77)
0