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| author | ziejd2 | 2018-03-14 23:23:33 -0500 |
|---|---|---|
| committer | GitHub | 2018-03-14 23:23:33 -0500 |
| commit | 1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch) | |
| tree | e0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/nethelp3.3/rbfprior.htm | |
| parent | 6882395afdadf4e982b25b5215071a0932730950 (diff) | |
| parent | c80226899f5cdd9f11c163817d59445213f5bef0 (diff) | |
| download | BNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz | |
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/rbfprior.htm')
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1 files changed, 59 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/nethelp3.3/rbfprior.htm b/sourcecodes/bnt-master/nethelp3.3/rbfprior.htm new file mode 100644 index 00000000..202bdde7 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/rbfprior.htm @@ -0,0 +1,59 @@ +<html> +<head> +<title> +Netlab Reference Manual rbfprior +</title> +</head> +<body> +<H1> rbfprior +</H1> +<h2> +Purpose +</h2> +Create Gaussian prior and output layer mask for RBF. + +<p><h2> +Synopsis +</h2> +<PRE> +[mask, prior] = rbfprior(rbfunc, nin, nhidden, nout, aw2, ab2)</PRE> + + +<p><h2> +Description +</h2> +<CODE>[mask, prior] = rbfprior(rbfunc, nin, nhidden, nout, aw2, ab2)</CODE> +generates a vector +<CODE>mask</CODE> that selects only the output +layer weights. This is because most uses of RBF networks in a Bayesian +context have fixed basis functions with the output layer as the only +adjustable parameters. In particular, the Neuroscale output error function +is designed to work only with this mask. + +<p>The return value +<CODE>prior</CODE> is a data structure, +with fields <CODE>prior.alpha</CODE> and <CODE>prior.index</CODE>, which +specifies a Gaussian prior distribution for the network weights in an +RBF network. The parameters <CODE>aw2</CODE> and <CODE>ab2</CODE> are all +scalars and represent the regularization coefficients for two groups +of parameters in the network corresponding to + second-layer weights, and second-layer biases +respectively. Then <CODE>prior.alpha</CODE> represents a column vector of +length 2 containing the parameters, and <CODE>prior.index</CODE> is a matrix +specifying which weights belong in each group. Each column has one +element for each weight in the matrix, using the standard ordering as +defined in <CODE>rbfpak</CODE>, and each element is 1 or 0 according to +whether the weight is a member of the corresponding group or not. + +<p><h2> +See Also +</h2> +<CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="evidence.htm">evidence</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 |