[pdp-discuss] Turning off kwta in a leabra layer?

[Frank Leoné]

Hi,

Another question, related to kwta: I am using the scalarval layers and its 
2D counterpart and am trying to learn the values perfectly. The type of 
inhibition and the value are really important to make sure this succeeds.

Now I use pat_k with normal inhibition, 0.25, on the outputlayers. But what 
does pat_k exactly do? It does state that it takes the number of units with 
an activity bigger than pat_q. But what is this pat_q? It does seem to work 
alright though but I'm having the feeling that he can't go down anymore 
because of the kwta values. I get an minimal avarage error of 5 (so 
everything avg instead of sum), but it should be possible to get it down 
further.

A second question is: what settings should I use for the inputlayer? At 
first I though it wouldn't matter, but it certainly seems to matter. Now I 
use pat_k, avg inhibition, 0.1, to make sure all the activities are put in 
and it seems to work, but isn't there a better way to do this?

In addition I'm glad to hear any tips related to the kwta-values, they 
influence the results a lot.

Thanks in advance!

       Frank

_________________________________________________________________
Live Search, for accurate results! http://www.live.nl