Research Article

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

Table 9

The results for face database (test #2, ORL).

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

150%
(2, 3, 4, 7, and 9)
50%
(1, 5, 6, 8 and, 10)
5 (139, 149, 64, 49, 69)
5 (112, 89, 137, 112, 203)
5 (109, 141, 115, 142, 206)
5 (69, 183, 84, 33, 233)
5 (43, 127, 176, 236, 39)
5 (124, 192, 92, 92, 193)
5 (70, 188, 227, 165, 98)
5 (75, 79, 128, 171, 159)
Module #1 (1 to 5)
Module #2 (6 to 12)
Module #3 (13 to 17)
Module #4 (18 to 22)
Module #5 (23 to 30)
Module #6 (31 to 34)
Module #7 (35 to 36)
Module #8 (37 to 40)
99%
(198/200)
0.0100

250%
(1, 2, 4, 5, and 7)
50%
(3, 6, 8, 9 and, 10)
5 (141, 99, 172, 88, 81)
4 (198, 101, 244, 148)
5 (159, 31, 175, 125, 168)
5 (31, 90, 125, 116, 111)
5 (102, 107, 110, 87, 21)
5 (113, 78, 55, 184, 209)
5 (248, 108, 150, 88, 40)
4 (119, 136, 90, 126)
3 (213, 71, 127)
4 (207, 131, 182, 48)
Module #1 (1 to 7)
Module #2 (8 to 12)
Module #3 (13 to 15)
Module #4 (16 to 18)
Module #5 (19 to 21)
Module #6 (22 to 23)
Module #7 (24 to 30)
Module #8 (31 to 33)
Module #9 (34 to 38)
Module #10 (39 to 40)
98.50%
(197/200)
0.0150

350%
(3, 5, 7, 8, and 10)
50%
(1, 2, 4, 6, and 9)
4 (60, 37, 220, 169)
5 (84, 106, 155, 187, 182)
5 (33, 222, 144, 23, 123)
5 (199, 85, 38, 78, 103)
5 (63, 143, 89, 191, 93)
5 (122, 189, 135, 95, 181)
5 (91, 194, 227, 119, 130)
3 (188, 124, 238)
5 (44, 105, 217, 102, 199)
5 (114, 129, 24, 140, 208)
Module #1 (1 to 2)
Module #2 (3 to 7)
Module #3 (8 to 10)
Module #4 (11 to 16)
Module #5 (17 to 21)
Module #6 (22 to 23)Module #7 (24 to 27)
Module #8 (28 to 31)
Module #9 (32 to 35)
Module #10 (36 to 40)
98%
(196/200)
0.0200

450%
(3, 4, 7, 9, and 10)
50%
(1, 2, 5, 6 and 8)
5 (52, 173, 68, 176, 133)
5 (143, 202, 54, 67, 55)
5 (82, 142, 191, 47, 183)
5 (205, 115, 95, 143, 218)5 (95, 142, 73, 47, 117)
5 (182, 86, 87, 113, 102)
5 (40, 115, 98, 95, 120)
5 (196, 181, 82, 69, 154)
5 (97, 117, 142, 216, 65)
5 (153, 155, 91, 48, 124)
Module #1 (1 to 3)
Module #2 (4 to 6)
Module #3 (7 to 9)
Module #4 (10 to 13)
Module #5 (14 to 15)
Module #6 (16 to 22)
Module #7 (23 to 27)
Module #8 (28 to 31)
Module #9 (32 to 35)
Module #10 (36 to 40)
99%
(198/200)
0.0100

550%
(2, 3, 5, 8, and 9)
50%
(1, 4, 6, 7, and 10)
5 (128, 150, 50, 26, 73)
5 (145, 149, 49, 69, 58)
5 (129, 58, 124, 86, 70)
5 (127, 69, 126, 139, 69)
5 (33, 174, 146, 137, 218)
5 (137, 95, 232, 187, 97)
5 (101, 104, 158, 66, 95)
5 (142, 207, 48, 140, 51)
5 (79, 157, 191, 129, 222)
5 (199, 102, 148, 103, 49)
Module #1 (1 to 2)
Module #2 (3 to 4)
Module #3 (5 to 13)
Module #4 (14 to 18)
Module #5 (19 to 20)
Module #6 (21 to 25)
Module #7 (26 to 30)
Module #8 (31 to 33)
Module #9 (34 to 35)
Module #10 (36 to 40)
98%
(196/200)
0.0200