Comments (4)
GoogleCodeExporter
commented on July 17, 2024
Не совсем понятно что вам нужно!
Если в академических целях и [1, 3, 5, 7, 9] - вся
обучающая выборка?!
То тогда так:
>>> net = net = nl.net.newelm([[0,10]]*5, [10, 1], [nl.trans.TanSig(),
nl.trans.PureLin()])
>>> net.ci
5
>>> net.train([[1,3,5,7,9]], [[11]])[-1]
The goal of learning is reached
0.0053256055443691233
>>> net.sim([[1,3,5,7,9]])
array([[ 11.07297675]])
Если Вы хотите что-бы сеть давала прогноз,
на основании расстояния между входными
элементами, то обучающая выборка должна
быть на много больше.
Для таких вопросов лучше подходит группа:
http://groups.google.com/group/py-neurolab
Original comment by [email protected] on 18 Oct 2011 at 4:28
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GoogleCodeExporter
commented on July 17, 2024
Спасибо. Я просто пытался достучаться до
Вас =)
А как можно связаться с Вами ? Почта,
например ?
Original comment by [email protected] on 18 Oct 2011 at 6:33
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GoogleCodeExporter
commented on July 17, 2024
Original comment by [email protected] on 24 Nov 2011 at 2:39
- Added labels: Type-Other
- Removed labels: Type-Defect
from neurolab.
GoogleCodeExporter
commented on July 17, 2024
Original comment by [email protected] on 4 Mar 2013 at 1:29
- Changed state: Done
from neurolab.
Related Issues (20)
- Failing to add Levenberg-Marquardt-training HOT 5
- Problem when using a modified network property HOT 1
- feedforward network not learning HOT 12
- PureLin in outputl layer does not work HOT 2
- Setup issue HOT 3
- strange result HOT 13
- Cannot install successfully for Python 3.2 HOT 5
- Learning Rate is not present HOT 2
- Multiprocessing can not pickle unbound function HOT 6
- cannot save nn HOT 2
- output norm and different resutls HOT 1
- Citing neurolab HOT 3
- Parameters Ignored in Training Function Construction HOT 2
- Training Fails for Non-Default Activation Functions HOT 1
- Linear Activation Leads to NaN minmax HOT 2
- Support for weight decay (regularization parameter) HOT 2
- Missing newelm example in doc HOT 3
- fmin_bfgs() got an unexpected keyword argument 'lr', train func does not take lr as parameter HOT 2
- Added regularization and cross-entropy error to Neurolab HOT 5
- 0.3.5 version not available in pypi HOT 1
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