What steps will reproduce the problem?
The problem appears sometimes, its random, because the training is random, too.
1. Create a complex network with 15 InputNeuron, 15 HiddenNeuron, 1 OutputNeuron
2. set ResilientPropagation with StopoStrategy(0.0000001, 100)
3. let train
What is the expected output? What do you see instead?
I expect, that anytime the training stops.
Sometimes the training never stops. The error changes its value, but
alternating between two or three values.
For example:
train.iteration(); // error = 0.4300001234
train.iteration(); // error = 0.4300003333
train.iteration(); // error = 0.4300006789
train.iteration(); // error = 0.4300001234
train.iteration(); // error = 0.4300003333
train.iteration(); // error = 0.4300006789
...
What version of the product are you using? On what operating system?
Encog 2.4, OS X 10.6.1
Please provide any additional information below.
Original issue reported on code.google.com by timasc...@googlemail.com on 21 Sep 2010 at 7:50
Original issue reported on code.google.com by
timasc...@googlemail.com
on 21 Sep 2010 at 7:50