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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/rbfjacob.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/rbfjacob.htm b/sourcecodes/bnt-master/nethelp3.3/rbfjacob.htm new file mode 100644 index 00000000..853e59a3 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/rbfjacob.htm @@ -0,0 +1,42 @@ +<html> +<head> +<title> +Netlab Reference Manual rbfjacob +</title> +</head> +<body> +<H1> rbfjacob +</H1> +<h2> +Purpose +</h2> +Evaluate derivatives of RBF network outputs with respect to inputs. + +<p><h2> +Synopsis +</h2> +<PRE> +g = rbfjacob(net, x)</PRE> + + +<p><h2> +Description +</h2> +<CODE>g = rbfjacob(net, x)</CODE> takes a network data structure <CODE>net</CODE> +and a matrix of input vectors <CODE>x</CODE> and returns a three-index matrix +<CODE>g</CODE> whose <CODE>i</CODE>, <CODE>j</CODE>, <CODE>k</CODE> element contains the +derivative of network output <CODE>k</CODE> with respect to input +parameter <CODE>j</CODE> for input pattern <CODE>i</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</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 |