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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/demhint.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/demhint.htm b/sourcecodes/bnt-master/nethelp3.3/demhint.htm new file mode 100644 index 00000000..ac54f77a --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demhint.htm @@ -0,0 +1,45 @@ +<html> +<head> +<title> +Netlab Reference Manual demhint +</title> +</head> +<body> +<H1> demhint +</H1> +<h2> +Purpose +</h2> +Demonstration of Hinton diagram for 2-layer feed-forward network. + +<p><h2> +Synopsis +</h2> +<PRE> +demhint +demhint(nin, nhidden, nout)</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>demhint</CODE> plots a Hinton diagram for a 2-layer feedforward network +with 5 inputs, 4 hidden units and 3 outputs. The weight vector is +chosen from a Gaussian distribution as described under <CODE>mlp</CODE>. + +<p><CODE>demhint(nin, nhidden, nout)</CODE> allows the user to specify the +number of inputs, hidden units and outputs. + +<p><h2> +See Also +</h2> +<CODE><a href="hinton.htm">hinton</a></CODE>, <CODE><a href="hintmat.htm">hintmat</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlppak.htm">mlppak</a></CODE>, <CODE><a href="mlpunpak.htm">mlpunpak</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 |