testmap.pat

著名的神经网络工具箱

SNNS pattern definition file V3.2
generated at Fri Mar  6 13:58:25 1998

No. of patterns : 80
No. of input units : 1
No. of output units : 1


# Input Pattern: 1
0  
# Output Pattern: 1
-0.277543 
# Input Pattern: 2
0.10101  
# Output Pattern: 2
-0.316233 
# Input Pattern: 3
0.20202  
# Output Pattern: 3
0.136313 
# Input Pattern: 5
0.40404  
# Output Pattern: 5
-0.225422 
# Input Pattern: 7
0.606061  
# Output Pattern: 7
0.352569 
# Input Pattern: 9
0.808081  
# Output Pattern: 9
0.0984898 
# Input Pattern: 11
1.0101  
# Output Pattern: 11
0.151494 
# Input Pattern: 12
1.11111  
# Output Pattern: 12
0.624467 
# Input Pattern: 13
1.21212  
# Output Pattern: 13
0.212444 
# Input Pattern: 16
1.51515  
# Output Pattern: 16
0.889417 
# Input Pattern: 17
1.61616  
# Output Pattern: 17
0.778767 
# Input Pattern: 18
1.71717  
# Output Pattern: 18
0.685297 
# Input Pattern: 19
1.81818  
# Output Pattern: 19
0.767021 
# Input Pattern: 20
1.91919  
# Output Pattern: 20
0.0727005 
# Input Pattern: 21
2.0202  
# Output Pattern: 21
0.190452 
# Input Pattern: 23
2.22222  
# Output Pattern: 23
0.163854 
# Input Pattern: 24
2.32323  
# Output Pattern: 24
0.146042 
# Input Pattern: 25
2.42424  
# Output Pattern: 25
0.522742 
# Input Pattern: 26
2.52525  
# Output Pattern: 26
0.0744466 
# Input Pattern: 27
2.62626  
# Output Pattern: 27
0.33137 
# Input Pattern: 28
2.72727  
# Output Pattern: 28
-0.292497 
# Input Pattern: 30
2.92929  
# Output Pattern: 30
0.290138 
# Input Pattern: 31
3.0303  
# Output Pattern: 31
0.494122 
# Input Pattern: 32
3.13131  
# Output Pattern: 32
-0.0804114 
# Input Pattern: 35
3.43434  
# Output Pattern: 35
-0.518637 
# Input Pattern: 36
3.53535  
# Output Pattern: 36
-0.0909592 
# Input Pattern: 37
3.63636  
# Output Pattern: 37
-0.247641 
# Input Pattern: 38
3.73737  
# Output Pattern: 38
0.146624 
# Input Pattern: 39
3.83838  
# Output Pattern: 39
-0.573746 
# Input Pattern: 40
3.93939  
# Output Pattern: 40
-0.263453 
# Input Pattern: 41
4.0404  
# Output Pattern: 41
-0.265977 
# Input Pattern: 42
4.14141  
# Output Pattern: 42
-0.186841 
# Input Pattern: 43
4.24242  
# Output Pattern: 43
-0.725867 
# Input Pattern: 44
4.34343  
# Output Pattern: 44
-0.459459 
# Input Pattern: 45
4.44444  
# Output Pattern: 45
-0.652185 
# Input Pattern: 46
4.54545  
# Output Pattern: 46
-0.208926 
# Input Pattern: 47
4.64646  
# Output Pattern: 47
-0.407211 
# Input Pattern: 49
4.84848  
# Output Pattern: 49
-0.397552 
# Input Pattern: 51
5.05051  
# Output Pattern: 51
-0.621505 
# Input Pattern: 52
5.15152  
# Output Pattern: 52
-0.425173 
# Input Pattern: 54
5.35354  
# Output Pattern: 54
-0.304656 
# Input Pattern: 55
5.45455  
# Output Pattern: 55
-0.793937 
# Input Pattern: 56
5.55556  
# Output Pattern: 56
-0.345332 
# Input Pattern: 58
5.75758  
# Output Pattern: 58
0.19992 
# Input Pattern: 59
5.85859  
# Output Pattern: 59
-0.210745 
# Input Pattern: 60
5.9596  
# Output Pattern: 60
-0.416256 
# Input Pattern: 62
6.16162  
# Output Pattern: 62
0.366622 
# Input Pattern: 63
6.26263  
# Output Pattern: 63
0.190528 
# Input Pattern: 65
6.46465  
# Output Pattern: 65
0.160378 
# Input Pattern: 67
6.66667  
# Output Pattern: 67
0.112951 
# Input Pattern: 68
6.76768  
# Output Pattern: 68
0.642736 
# Input Pattern: 69
6.86869  
# Output Pattern: 69
0.233502 
# Input Pattern: 70
6.9697  
# Output Pattern: 70
0.0562317 
# Input Pattern: 71
7.07071  
# Output Pattern: 71
0.626898 
# Input Pattern: 72
7.17172  
# Output Pattern: 72
0.127571 
# Input Pattern: 73
7.27273  
# Output Pattern: 73
0.413501 
# Input Pattern: 74
7.37374  
# Output Pattern: 74
0.66607 
# Input Pattern: 75
7.47475  
# Output Pattern: 75
0.220806 
# Input Pattern: 76
7.57576  
# Output Pattern: 76
0.586862 
# Input Pattern: 78
7.77778  
# Output Pattern: 78
0.752629 
# Input Pattern: 80
7.9798  
# Output Pattern: 80
0.27196 
# Input Pattern: 81
8.08081  
# Output Pattern: 81
0.17562 
# Input Pattern: 82
8.18182  
# Output Pattern: 82
0.722296 
# Input Pattern: 83
8.28283  
# Output Pattern: 83
0.704619 
# Input Pattern: 84
8.38384  
# Output Pattern: 84
0.363298 
# Input Pattern: 85
8.48485  
# Output Pattern: 85
0.243563 
# Input Pattern: 86
8.58586  
# Output Pattern: 86
0.478445 
# Input Pattern: 87
8.68687  
# Output Pattern: 87
0.571802 
# Input Pattern: 88
8.78788  
# Output Pattern: 88
0.453454 
# Input Pattern: 89
8.88889  
# Output Pattern: 89
0.721569 
# Input Pattern: 90
8.9899  
# Output Pattern: 90
0.286602 
# Input Pattern: 91
9.09091  
# Output Pattern: 91
0.482401 
# Input Pattern: 92
9.19192  
# Output Pattern: 92
0.517269 
# Input Pattern: 93
9.29293  
# Output Pattern: 93
-0.250521 
# Input Pattern: 94
9.39394  
# Output Pattern: 94
-0.360583 
# Input Pattern: 95
9.49495  
# Output Pattern: 95
0.335767 
# Input Pattern: 97
9.69697  
# Output Pattern: 97
-0.627193 
# Input Pattern: 98
9.79798  
# Output Pattern: 98
-0.111256 
# Input Pattern: 99
9.89899  
# Output Pattern: 99
0.245125 
# Input Pattern: 100
10  
# Output Pattern: 100
-0.669993