about summary refs log tree commit diff
path: root/sourcecodes/bnt-master/nethelp3.3/demtrain.htm
diff options
context:
space:
mode:
authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demtrain.htm
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-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
Diffstat (limited to 'sourcecodes/bnt-master/nethelp3.3/demtrain.htm')
-rw-r--r--sourcecodes/bnt-master/nethelp3.3/demtrain.htm49
1 files changed, 49 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/nethelp3.3/demtrain.htm b/sourcecodes/bnt-master/nethelp3.3/demtrain.htm
new file mode 100644
index 00000000..f3c8d8d5
--- /dev/null
+++ b/sourcecodes/bnt-master/nethelp3.3/demtrain.htm
@@ -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