Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/nethelp3.3/demtrain.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/demtrain.htm Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,49 @@ +<html> +<head> +<title> +Netlab Reference Manual demtrain +</title> +</head> +<body> +<H1> demtrain +</H1> +<h2> +Purpose +</h2> +Demonstrate training of MLP network. + +<p><h2> +Synopsis +</h2> +<PRE> +demtrain</PRE> + + +<p><h2> +Description +</h2> +<CODE>demtrain</CODE> brings up a simple GUI to show the training of +an MLP network on classification and regression problems. The user +should load in a dataset (which should be in Netlab format: see +<CODE>datread</CODE>), select the output activation function, the + number of cycles and hidden units and then +train the network. The scaled conjugate gradient algorithm is used. +A graph shows the evolution of the error: the value is shown +<CODE>max(ceil(iterations / 50), 5)</CODE> cycles. + +<p>Once the network is trained, it is saved to the file <CODE>mlptrain.net</CODE>. +The results can then be viewed as a confusion matrix (for classification +problems) or a plot of output versus target (for regression problems). + +<p><h2> +See Also +</h2> +<CODE><a href="confmat.htm">confmat</a></CODE>, <CODE><a href="datread.htm">datread</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="netopt.htm">netopt</a></CODE>, <CODE><a href="scg.htm">scg</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