>Umm, yes, maybe my original thought was to avoid some of the dirty work like
>training algorithms and just interpret the trained network in Csound.
>
>>do you have any ideas of what exactly you'll use the network for?
>
>Good point and maybe it isn't worth the effort

pol!t.

>although there are some
>people who claim to be doing some interesting things with them.
>Check out
>Prosoniq:

o ___... 1 dekade + pr!or kode = operat!ng on mak!ntosh !n real t!me
hensz `Check out` prozon!k = eku!v 2 konzult metaz!nth vn approx
1\2 dekad pr!or 1 publ!k appl name tagd fonogram = akompl!shd deja.

!t = houevr faz!onabl amongzt organ!szd l!f 4rmz 2 po!nt !ndecz f!ngr
at dzat wh!ch = publ!kl! akzeptd az faz!onabl [lokate data patternz +?]


>It seems I've heard of them being used for
>formant peak identification, pitch shifting and reverb removal.

= lokate data patternz +?
http://www.m9ndfukc.org/korporat/=cw4t7abs.3nkod0r..0+2.html


>You're right about me making some wrong assumptions, I've been reading about
>neural networks a bit more and some of my original assumptions were way off
>base.  What I need to do is experiment with them for a while to see what
>useful things can be done with neural nets.

= ma! b ut!l!zd 4 `real t!me` f!lter!ng
> `ef!z!ent` [fztr] dzn zekuent!al rout!n
s!nthes!sz + dzp = tout naturlment
= operatez on data az doez all mattr.


>I got the Stuttgart package working and trained their demo network with it
>now, so I understand a little more about what the network is doing.  I had
>forgotten that neurons are binary so as far as I can tell it must take a
>bunch of neurons to do anything useful.

+ tra!n!ng [4 nnz]
tra!n!ng = faz!onabl amongzt humanz ausz!


> Still learning,

z



\\ humanz != posez 1 eff!z!ent del ke!.  Still learning, +  Still         ,
   + humanz != posez 1 eff!z!ent del ke!. +

   f!nal! { humanz = enkountr 0+1 reboot rout!n }















                                                                  learning