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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual demtrain
5 </title>
6 </head>
7 <body>
8 <H1> demtrain
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Demonstrate training of MLP network.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 demtrain</PRE>
20
21
22 <p><h2>
23 Description
24 </h2>
25 <CODE>demtrain</CODE> brings up a simple GUI to show the training of
26 an MLP network on classification and regression problems. The user
27 should load in a dataset (which should be in Netlab format: see
28 <CODE>datread</CODE>), select the output activation function, the
29 number of cycles and hidden units and then
30 train the network. The scaled conjugate gradient algorithm is used.
31 A graph shows the evolution of the error: the value is shown
32 <CODE>max(ceil(iterations / 50), 5)</CODE> cycles.
33
34 <p>Once the network is trained, it is saved to the file <CODE>mlptrain.net</CODE>.
35 The results can then be viewed as a confusion matrix (for classification
36 problems) or a plot of output versus target (for regression problems).
37
38 <p><h2>
39 See Also
40 </h2>
41 <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>
42 <b>Pages:</b>
43 <a href="index.htm">Index</a>
44 <hr>
45 <p>Copyright (c) Ian T Nabney (1996-9)
46
47
48 </body>
49 </html>