Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/nethelp3.3/mdninit.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/mdninit.htm Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,50 @@ +<html> +<head> +<title> +Netlab Reference Manual mdninit +</title> +</head> +<body> +<H1> mdninit +</H1> +<h2> +Purpose +</h2> +Initialise the weights in a Mixture Density Network. + +<p><h2> +Synopsis +</h2> +<PRE> +net = mdninit(net, prior) +net = mdninit(net, prior, t, options) +</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>net = mdninit(net, prior)</CODE> takes a Mixture Density Network +<CODE>net</CODE> and sets the weights and biases by sampling from a Gaussian +distribution. It calls <CODE>mlpinit</CODE> for the MLP component of <CODE>net</CODE>. + +<p><CODE>net = mdninit(net, prior, t, options)</CODE> uses the target data <CODE>t</CODE> to +initialise the biases for the output units after initialising the +other weights as above. It calls <CODE>gmminit</CODE>, with <CODE>t</CODE> and <CODE>options</CODE> +as arguments, to obtain a model of the unconditional density of <CODE>t</CODE>. The +biases are then set so that <CODE>net</CODE> will output the values in the Gaussian +mixture model. + +<p><h2> +See Also +</h2> +<CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlpinit.htm">mlpinit</a></CODE>, <CODE><a href="gmminit.htm">gmminit</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