📄 eight_elman.chk
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This file contains data to test the learning functions
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Network-Files: eight_elman_untrained.net
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Pattern-Files: eight_016.pat
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Description: - load network eight_elman_untrained.net
============ - load patterns eight_elman.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 eight_elman_untrained.net
Test set 1)
===========
learning function : JE_BP 0.2 0.0 0.0 0.0 0.0
update function : JE_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.66011 0.29126 2.33006
45: 4.43627 0.27727 2.21814
40: 4.23456 0.26466 2.11728
35: 4.04749 0.25297 2.02374
30: 3.86994 0.24187 1.93497
25: 3.69936 0.23121 1.84968
20: 3.53294 0.22081 1.76647
15: 3.36779 0.21049 1.68390
10: 3.20235 0.20015 1.60117
5: 3.03687 0.18980 1.51844
1: 2.90547 0.18159 1.45273
Test set 2)
===========
learning function : JE_BP_Momentum 0.2 0.5 0.0 0.0 0.0
update function : JE_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 5.21437 0.32590 2.60718
45: 4.83230 0.30202 2.41615
40: 4.40004 0.27500 2.20002
35: 4.04500 0.25281 2.02250
30: 3.71681 0.23230 1.85840
25: 3.38695 0.21168 1.69348
20: 3.05418 0.19089 1.52709
15: 2.72883 0.17055 1.36442
10: 2.42143 0.15134 1.21071
5: 2.13957 0.13372 1.06979
1: 1.93552 0.12097 0.96776
Test set 3)
===========
learning function : JE_Quickprop 0.3 2.0 0.0001 0.0 0.0
update function : JE_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.52255 0.28266 2.26127
45: 2.98465 0.18654 1.49232
40: 1.61656 0.10104 0.80828
35: 1.75580 0.10974 0.87790
30: 0.28371 0.01773 0.14186
25: 0.18286 0.01143 0.09143
20: 0.14727 0.00920 0.07363
15: 0.11614 0.00726 0.05807
10: 0.07281 0.00455 0.03641
5: 0.06172 0.00386 0.03086
1: 0.05844 0.00365 0.02922
Test set 4)
===========
learning function : JE_Rprop 0.1 50.0 0.0 0.0 0.0
update function : JE_Order 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.52255 0.28266 2.26127
45: 3.19902 0.19994 1.59951
40: 1.68481 0.10530 0.84240
35: 0.86975 0.05436 0.43488
30: 0.36767 0.02298 0.18383
25: 0.25244 0.01578 0.12622
20: 0.21846 0.01365 0.10923
15: 0.17938 0.01121 0.08969
10: 0.14378 0.00899 0.07189
5: 0.11627 0.00727 0.05813
1: 0.09779 0.00611 0.04890
Test set 5)
===========
learning function : JE_BP 0.2 0.0 0.0 0.0 0.0
update function : JE_Special 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.66011 0.29126 2.33006
45: 4.43628 0.27727 2.21814
40: 4.23456 0.26466 2.11728
35: 4.04749 0.25297 2.02374
30: 3.86994 0.24187 1.93497
25: 3.69936 0.23121 1.84968
20: 3.53295 0.22081 1.76647
15: 3.36779 0.21049 1.68390
10: 3.20235 0.20015 1.60118
5: 3.03688 0.18980 1.51844
1: 2.90547 0.18159 1.45274
Test set 6)
===========
learning function : JE_BP_Momentum 0.2 0.5 0.0 0.0 0.0
update function : JE_Special 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 5.21437 0.32590 2.60718
45: 4.83230 0.30202 2.41615
40: 4.40004 0.27500 2.20002
35: 4.04500 0.25281 2.02250
30: 3.71681 0.23230 1.85840
25: 3.38695 0.21168 1.69348
20: 3.05418 0.19089 1.52709
15: 2.72883 0.17055 1.36442
10: 2.42143 0.15134 1.21071
5: 2.13957 0.13372 1.06979
1: 1.93552 0.12097 0.96776
Test set 7)
===========
learning function : JE_Quickprop 0.3 2.0 0.0001 0.0 0.0
update function : JE_Special 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.52255 0.28266 2.26127
45: 2.98465 0.18654 1.49232
40: 1.61656 0.10104 0.80828
35: 1.75580 0.10974 0.87790
30: 0.28371 0.01773 0.14186
25: 0.18286 0.01143 0.09143
20: 0.14727 0.00920 0.07363
15: 0.11614 0.00726 0.05807
10: 0.07281 0.00455 0.03641
5: 0.06172 0.00386 0.03086
1: 0.05844 0.00365 0.02922
Test set 8)
===========
learning function : JE_Rprop 0.1 50.0 0.0 0.0 0.0
update function : JE_Special 0.0 0.0 0.0 0.0 0.0
epoch: SSE MSE SSE/o-units
50: 4.52255 0.28266 2.26127
45: 3.19902 0.19994 1.59951
40: 1.68481 0.10530 0.84240
35: 0.86975 0.05436 0.43488
30: 0.36767 0.02298 0.18383
25: 0.25244 0.01578 0.12622
20: 0.21846 0.01365 0.10923
15: 0.17938 0.01121 0.08969
10: 0.14378 0.00899 0.07189
5: 0.11627 0.00727 0.05813
1: 0.09779 0.00611 0.04890
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