[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: [computer-go] Neural Nets
On Sat, 4 Dec 2004, Mark Boon wrote:
> >
> > http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000100
> >
> > Particularly section 9 might interest you.
> >
>
> I get 'Connection refused' when I click that. I'm really interested, as
> feature detection to produce a score is probably what you'd need for aji.
> Not an absolute score of course, but more like a score adjustment. I'm
> afraid that neural nets are too slow though, any information on that?
It looks like the server is just down at the moment, you can grab a copy
from the citeseer cache (at http://citeseer.ist.psu.edu/673480.html) if
it's still down later.
My paper covers more of the applications of TD learning to board games,
for what your interested in I'd recommend you have a look at some of
donald beal's papers. I've probably got one of his papers on my computer
somewhere, if you want it let me know and I'll email it to you directly.
As for speed it really depends on how you're using it, if you want speed
you might be able to get away with using a one layer neural network as all
that is is essentially an array of weightings.
So for example if you had say 100 feature detectors which populate an
array results[100], you'ld then have an array (of floats) weigh[100]
which will be populated by a neural net training algorithm. When you want
to use it all you'ld have to calculate is the sum of results[i]*weight[i]
for all i. It's common to then pass this value through a normalizing
function like (1/(1+e^-x)) but that's not neccesary.
HTH.
Imran
--
http://bits.bris.ac.uk/imran
_______________________________________________
computer-go mailing list
computer-go@xxxxxxxxxxxxxxxxx
http://www.computer-go.org/mailman/listinfo/computer-go/