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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/neterr.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/neterr.htm b/sourcecodes/bnt-master/nethelp3.3/neterr.htm new file mode 100644 index 00000000..2ec53e61 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/neterr.htm @@ -0,0 +1,47 @@ +<html> +<head> +<title> +Netlab Reference Manual neterr +</title> +</head> +<body> +<H1> neterr +</H1> +<h2> +Purpose +</h2> +Evaluate network error function for generic optimizers + +<p><h2> +Synopsis +</h2> +<PRE> +e = neterr(w, net, x, t) +[e, varargout] = neterr(w, net, x, t) +</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>e = neterr(w, net, x, t)</CODE> takes a weight vector <CODE>w</CODE> and a network +data structure <CODE>net</CODE>, together with the matrix <CODE>x</CODE> of input +vectors and the matrix <CODE>t</CODE> of target vectors, and returns the +value of the error function evaluated at <CODE>w</CODE>. + +<p><CODE>[e, varargout] = neterr(w, net, x, t)</CODE> also returns any additional +return values from the error function. + +<p><h2> +See Also +</h2> +<CODE><a href="netgrad.htm">netgrad</a></CODE>, <CODE><a href="nethess.htm">nethess</a></CODE>, <CODE><a href="netopt.htm">netopt</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 |