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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demsom1.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz | |
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
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diff --git a/sourcecodes/bnt-master/nethelp3.3/demsom1.htm b/sourcecodes/bnt-master/nethelp3.3/demsom1.htm new file mode 100644 index 00000000..4cc1bbf0 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demsom1.htm @@ -0,0 +1,42 @@ +<html> +<head> +<title> +Netlab Reference Manual demsom1 +</title> +</head> +<body> +<H1> demsom1 +</H1> +<h2> +Purpose +</h2> +Demonstrate SOM for visualisation. + +<p><h2> +Synopsis +</h2> +<PRE> +demsom1</PRE> + + +<p><h2> +Description +</h2> + +This script demonstrates the use of a +SOM with a two-dimensional grid to map onto data in +two-dimensional space. Both on-line and batch training algorithms +are shown. + +<p><h2> +See Also +</h2> +<CODE><a href="som.htm">som</a></CODE>, <CODE><a href="sompak.htm">sompak</a></CODE>, <CODE><a href="somtrain.htm">somtrain</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) + + +</body> +</html> \ No newline at end of file |