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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/hesschek.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/hesschek.htm b/sourcecodes/bnt-master/nethelp3.3/hesschek.htm new file mode 100644 index 00000000..34a4f591 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/hesschek.htm @@ -0,0 +1,46 @@ +<html> +<head> +<title> +Netlab Reference Manual hesschek +</title> +</head> +<body> +<H1> hesschek +</H1> +<h2> +Purpose +</h2> +Use central differences to confirm correct evaluation of Hessian matrix. + +<p><h2> +Synopsis +</h2> +<PRE> +hesschek(net, x, t) +h = hesschek(net, x, t)</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>hesschek(net, x, t)</CODE> takes a network data structure <CODE>net</CODE>, together +with input and target data matrices <CODE>x</CODE> and <CODE>t</CODE>, and compares +the evaluation of the Hessian matrix using the function <CODE>nethess</CODE> +and using central differences with the function <CODE>neterr</CODE>. + +<p>The optional return value <CODE>h</CODE> is the Hessian computed using +<CODE>nethess</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="nethess.htm">nethess</a></CODE>, <CODE><a href="neterr.htm">neterr</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 |