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Comments by itresearches (Top 2 by date)

itresearches 5-Apr-11 7:35am View    
Deleted
Hello Dear

I'm sorry for my question!

My problem is that I don't know how to design a neural network like the one in the articles!

I have used aforge but i don't know how to train the network beacuse I didn't found any of the learning algurithm below :

* Hebbian learning rule:
w_i^+=w_i+\sigma_ix_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)
* Anti-Hebbian learning rule:
w_i^+=w_i-\sigma_ix_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)
* Random walk:
w_i^+=w_i+x_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)

and how to define the Signum function (it seems that it does not support custom function) and how to control the out put of the hidden neurons!


I have tested all of the features of the aforge

Does aforge support such features?
Do you know any alternative library ?

Best Regards
itresearches 5-Apr-11 7:35am View    
Deleted
Hello Dear

I'm sorry for my question!

My problem is that I don't know how to design a neural network like the one in the articles!

I have used aforge but i don't know how to train the network beacuse I didn't found any of the learning algurithm below :

* Hebbian learning rule:
w_i^+=w_i+\sigma_ix_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)
* Anti-Hebbian learning rule:
w_i^+=w_i-\sigma_ix_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)
* Random walk:
w_i^+=w_i+x_i\Theta(\sigma_i\tau)\Theta(\tau^A\tau^B)

and how to define the Signum function (it seems that it does not support custom function) and how to control the out put of the hidden neurons!


I have tested all of the features of the aforge

Does aforge support such features?
Do you know any alternative library ?

Best Regards