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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/rbfsetbf.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/rbfsetbf.htm b/sourcecodes/bnt-master/nethelp3.3/rbfsetbf.htm new file mode 100644 index 00000000..c4fbf443 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/rbfsetbf.htm @@ -0,0 +1,43 @@ +<html> +<head> +<title> +Netlab Reference Manual rbfsetbf +</title> +</head> +<body> +<H1> rbfsetbf +</H1> +<h2> +Purpose +</h2> +Set basis functions of RBF from data. + +<p><h2> +Synopsis +</h2> +<PRE> +net = rbfsetbf(net, options, x) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>net = rbfsetbf(net, options, x)</CODE> sets the basis functions of the +RBF network <CODE>net</CODE> so that they model the unconditional density of the +dataset <CODE>x</CODE>. This is done by training a GMM with spherical covariances +using <CODE>gmmem</CODE>. The <CODE>options</CODE> vector is passed to <CODE>gmmem</CODE>. +The widths of the functions are set by a call to <CODE>rbfsetfw</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfsetfw.htm">rbfsetfw</a></CODE>, <CODE><a href="gmmem.htm">gmmem</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 |