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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/rbfgrad.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/rbfgrad.htm b/sourcecodes/bnt-master/nethelp3.3/rbfgrad.htm new file mode 100644 index 00000000..30759dfe --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/rbfgrad.htm @@ -0,0 +1,55 @@ +<html> +<head> +<title> +Netlab Reference Manual rbfgrad +</title> +</head> +<body> +<H1> rbfgrad +</H1> +<h2> +Purpose +</h2> +Evaluate gradient of error function for RBF network. + +<p><h2> +Synopsis +</h2> +<PRE> + +g = rbfgrad(net, x, t) +[g, gdata, gprior] = rbfgrad(net, x, t) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>g = rbfgrad(net, x, t)</CODE> takes a network data structure <CODE>net</CODE> +together with a matrix <CODE>x</CODE> of input +vectors and a matrix <CODE>t</CODE> of target vectors, and evaluates the gradient +<CODE>g</CODE> of the error function with respect to the network weights (i.e. +including the hidden unit parameters). The error +function is sum of squares. +Each row of <CODE>x</CODE> corresponds to one +input vector and each row of <CODE>t</CODE> contains the corresponding target vector. +If the output function is <CODE>'neuroscale'</CODE> then the gradient is only +computed for the output layer weights and biases. + +<p><CODE>[g, gdata, gprior] = rbfgrad(net, x, t)</CODE> also returns separately +the data and prior contributions to the gradient. In the case of +multiple groups in the prior, <CODE>gprior</CODE> is a matrix with a row +for each group and a column for each weight parameter. + +<p><h2> +See Also +</h2> +<CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbfunpak.htm">rbfunpak</a></CODE>, <CODE><a href="rbfbkp.htm">rbfbkp</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 |