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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/mdnerr.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/mdnerr.htm b/sourcecodes/bnt-master/nethelp3.3/mdnerr.htm new file mode 100644 index 00000000..41d2f260 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/mdnerr.htm @@ -0,0 +1,46 @@ +<html> +<head> +<title> +Netlab Reference Manual mdnerr +</title> +</head> +<body> +<H1> mdnerr +</H1> +<h2> +Purpose +</h2> +Evaluate error function for Mixture Density Network. + +<p><h2> +Synopsis +</h2> +<PRE> +e = mdnerr(net, x, t) +</PRE> + + +<p><h2> +Description +</h2> + +<CODE>e = mdnerr(net, x, t)</CODE> takes a mixture density network data +structure <CODE>net</CODE>, a matrix <CODE>x</CODE> of input vectors and a matrix +<CODE>t</CODE> of target vectors, and evaluates the error function +<CODE>e</CODE>. The error function is the negative log likelihood of the +target data under the conditional density given by the mixture model +parameterised by the MLP. Each row of <CODE>x</CODE> corresponds to one +input vector and each row of <CODE>t</CODE> corresponds to one target vector. + +<p><h2> +See Also +</h2> +<CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdngrad.htm">mdngrad</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) +<p>David J Evans (1998) + +</body> +</html> \ No newline at end of file |