1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
|
=============================================================================
This file contains data to test the learning functions
=============================================================================
Network-Files: encoder_untrained.net
==============
Pattern-Files: encoder.pat
==============
Description: - load network encoder_untrained.net
============ - load patterns encoder.pat
- do NOT press init button
- set cycles to 50
- set shuffle off
- for each test set:
- set learing function given in test set.
- set learning parameters given in test set.
- set update function given in test set.
- set update parameters given in test set.
- press the all button
- compare the results with the given results
- reload network encoder_untrained.net
Test set 1)
===========
learning function : Backpropagation 2.0 0.0 0.0 0.0 0.0
update function : Topological_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 15.01238 1.87655 1.87655
45: 7.11733 0.88967 0.88967
40: 6.97848 0.87231 0.87231
35: 6.82921 0.85365 0.85365
30: 6.60435 0.82554 0.82554
25: 6.25984 0.78248 0.78248
20: 5.80904 0.72613 0.72613
15: 5.29508 0.66189 0.66189
10: 4.82750 0.60344 0.60344
5: 4.47458 0.55932 0.55932
1: 4.26193 0.53274 0.53274
Test set 2)
===========
learning function : Backprop Momentum 0.8 0.6 0.1 0.0 0.0
update function : Topological_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 15.04783 1.88098 1.88098
45: 7.00902 0.87613 0.87613
40: 6.64665 0.83083 0.83083
35: 5.84186 0.73023 0.73023
30: 4.85185 0.60648 0.60648
25: 4.35962 0.54495 0.54495
20: 4.06261 0.50783 0.50783
15: 3.77601 0.47200 0.47200
10: 3.49569 0.43696 0.43696
5: 3.26683 0.40835 0.40835
1: 3.11198 0.38900 0.38900
Test set 3)
===========
learning function : Quickprop 0.2 1.75 0.0001 0.0 0.0
update function : Topological_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 23.43225 2.92903 2.92903
45: 6.84621 0.85578 0.85578
40: 5.19811 0.64976 0.64976
35: 2.95950 0.36994 0.36994
30: 2.30973 0.28872 0.28872
25: 1.70339 0.21292 0.21292
20: 1.96639 0.24580 0.24580
15: 1.34750 0.16844 0.16844
10: 0.25786 0.03223 0.03223
5: 0.13768 0.01721 0.01721
1: 0.10174 0.01272 0.01272
Test set 4)
===========
learning function : Rprop 0.2 0.0 0.0 0.0 0.0
update function : Topological_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 23.43225 2.92903 2.92903
45: 6.83243 0.85405 0.85405
40: 5.00780 0.62597 0.62597
35: 2.55660 0.31958 0.31958
30: 1.19405 0.14926 0.14926
25: 0.60546 0.07568 0.07568
20: 0.63067 0.07883 0.07883
15: 0.09255 0.01157 0.01157
10: 0.03560 0.00445 0.00445
5: 0.01027 0.00128 0.00128
1: 0.00293 0.00037 0.00037
|
