Yes, SNNS has lots of different NN architectures,
maybe a few too many, actually. Most users will
probably have difficulties chosing from so many
different designs.
As far as I remember, back propagation networks are
still very popular because they are so well understood.
Radial basis functions I think are quite popular as well
and have greater classification power.
Kohonen maps are something I never really got acquainted
with.
Is there anybody on this list who could give us a brief
overview which architectures and features are the most important
and would have to be included in a GRASS extension
geared towards practical application?
Cheers,
Benjamin
----- Originalnachricht -----
Von: Paulick Consult <stefan.paulick@urbeli.com>
Datum: Dienstag, 7. Juni 2005 5:01 pm
Betreff: [GRASS5] Re: (grass) Neural network tool for grass
Maybe it is worth to have a look at SNNS:
http://www-ra.informatik.uni-tuebingen.de/SNNS/
/Stefan
benducke@compuserve.de schrieb:
> I would definitely be interested in porting some NN
> classification functionality to GRASS 6.
> Have been thinking about how to do this for some
> time, as well ...
> I have got some background in NNs and porting older
> modules to GRASS 6.
> I guess the best way would be to take an open source
> NN library like fann and start from there.
> Unfortunately, I am tied up with my GRASS extensions
> installer tool right now.
> But let's keep in touch about this!
>
> Benjamin
>
> ----- Originalnachricht -----
> Von: Request Tracker <grass-bugs@intevation.de>
> Datum: Dienstag, 7. Juni 2005 12:36 pm
> Betreff: [GRASS5] [bug #3327] (grass) Neural network tool for
grass
>
>> this bug's URL: http://intevation.de/rt/webrt?serial_num=3327
>> -----------------------------------------------------------------
---
>> -----
>>
>> Subject: Neural network tool for grass
>>
>> Platform: GNU/Linux/i386
>> grass obtained from: Trento Italy site
>> grass binary for platform: Compiled from Sources
>> GRASS Version: GRASS 6.1.cvs (2005)
>>
>> Hallo developers,
>> I'm clasifying some raster maps, and the result is not the best
:-/
>> I use SMAP
>> classification module.
>>
>> Many people say, that neural networks should give better
results,
>> Bayesian Image Segmentation.
>>
>> I have no idea, how to port r.nntool from GRASS 4.x->6.x. Is
there
>> someone, who
>> would do this? I can help with some work.
>>
>> Would it not be easier to write new r.nntool, using some library
>> (e.g. fann)? I do not know, how are neural networks working, but
I
>> can offer all my skills and time.
>>
>> Jachym
>> --
>> Jachym Cepicky
>> e-mail: jachym.cepicky@centrum.cz
>> URL: http://les-ejk.cz
>> GPG: http://les-ejk.cz/gnupg_public_key/
>>
>> -------------------------------------------- Managed by Request
>> Tracker
>> _______________________________________________
>> grass5 mailing list
>> grass5@grass.itc.it
>> http://grass.itc.it/mailman/listinfo/grass5
>>
>
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