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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/mlptrain.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/mlptrain.htm b/sourcecodes/bnt-master/nethelp3.3/mlptrain.htm new file mode 100644 index 00000000..ad89786b --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/mlptrain.htm @@ -0,0 +1,35 @@ +<html> +<head> +<title> +Netlab Reference Manual mlptrain +</title> +</head> +<body> +<H1> mlptrain +</H1> +<h2> +Purpose +</h2> +Utility to train an MLP network for demtrain + +<p><h2> +Description +</h2> + +<p><CODE>[net, error] = mlptrain(net, x, t, its)</CODE> trains a network data +structure <CODE>net</CODE> using the scaled conjugate gradient algorithm +for <CODE>its</CODE> cycles with +input data <CODE>x</CODE>, target data <CODE>t</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="demtrain.htm">demtrain</a></CODE>, <CODE><a href="scg.htm">scg</a></CODE>, <CODE><a href="netopt.htm">netopt</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 |