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<DIV><FONT face=Arial size=2>hi Julian,</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>you may want to have a look at the ann
library:</FONT></DIV>
<DIV><FONT face=Arial size=2>* ann_som: Self Organizing Maps</FONT></DIV>
<DIV><FONT face=Arial size=2>* ann_mlp: multi layered perceptrons (feed
forward)</FONT></DIV>
<DIV><FONT face=Arial size=2>* ann_td: time delay nn (currently a bit
bugged)</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>you can find the source code in the CVS:
</FONT><FONT face=Arial size=2><A
href="http://cvs.sourceforge.net/viewcvs.py/pure-data/externals/ann/">http://cvs.sourceforge.net/viewcvs.py/pure-data/externals/ann/</A></FONT></DIV>
<DIV><FONT face=Arial size=2>see this page for a quick cvs howto: <A
href="http://sourceforge.net/cvs/?group_id=55736">http://sourceforge.net/cvs/?group_id=55736</A><A
href="http://sourceforge.net/projects/pure-data"></A></FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>ann_mlp and ann_td use the fann library, so you'll
need it on your system to compile ann.</FONT></DIV>
<DIV><FONT face=Arial size=2>see: <A
href="http://leenissen.dk/fann/">http://leenissen.dk/fann/</A></FONT></DIV>
<DIV><FONT face=Arial size=2>there you can find info on training algorithms
etc..</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>ann works on win, osx and linux.</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>...in the spare time I'm trying to extend ann, I'd
like to include RNN or even something to let the user define the
topology without limitations...</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>if you have questions let me know.</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
<DIV><FONT face=Arial size=2>ciao and welcome in the pd community!</FONT></DIV>
<DIV><FONT face=Arial size=2>davide.</FONT></DIV>
<DIV><FONT face=Arial size=2></FONT> </DIV>
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style="PADDING-RIGHT: 0px; PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #000000 2px solid; MARGIN-RIGHT: 0px">
<DIV style="FONT: 10pt arial">----- Original Message ----- </DIV>
<DIV
style="BACKGROUND: #e4e4e4; FONT: 10pt arial; font-color: black"><B>From:</B>
<A title=julovi@yahoo.com href="mailto:julovi@yahoo.com">Julian Villegas</A>
</DIV>
<DIV style="FONT: 10pt arial"><B>To:</B> <A title=pd-list@iem.at
href="mailto:pd-list@iem.at">pd-list@iem.at</A> </DIV>
<DIV style="FONT: 10pt arial"><B>Sent:</B> Wednesday, March 08, 2006 6:17
PM</DIV>
<DIV style="FONT: 10pt arial"><B>Subject:</B> [PD] neural networks &
PD</DIV>
<DIV><BR></DIV>I'm new in PD and I will like to know if someone have worked
before with neural networks in pd, and how fast they can be. I found something
in La kitchen, and in some papers, but any 'light' on how to do it and how
fast they run, or whatever I should be aware before to start will be highly
appreciate it ! :)<BR>Thanks in advance<BR><BR><BR><BR>Julian
Villegas<BR><BR>University of Aizu<BR>Synthetic Worlds Laboratory<BR>Aizu -
Wakamatsu Fukushima<BR>Japan 965 - 8580<BR><BR>Me pregunto de un modo
pensativo<BR>Que significa ser colombiano?<BR>No se le respondi. Es un acto de
fe<BR>JLB.
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