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author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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wolffd@0 | 1 <html> |
wolffd@0 | 2 <head> |
wolffd@0 | 3 <title> |
wolffd@0 | 4 Netlab Reference Manual demtrain |
wolffd@0 | 5 </title> |
wolffd@0 | 6 </head> |
wolffd@0 | 7 <body> |
wolffd@0 | 8 <H1> demtrain |
wolffd@0 | 9 </H1> |
wolffd@0 | 10 <h2> |
wolffd@0 | 11 Purpose |
wolffd@0 | 12 </h2> |
wolffd@0 | 13 Demonstrate training of MLP network. |
wolffd@0 | 14 |
wolffd@0 | 15 <p><h2> |
wolffd@0 | 16 Synopsis |
wolffd@0 | 17 </h2> |
wolffd@0 | 18 <PRE> |
wolffd@0 | 19 demtrain</PRE> |
wolffd@0 | 20 |
wolffd@0 | 21 |
wolffd@0 | 22 <p><h2> |
wolffd@0 | 23 Description |
wolffd@0 | 24 </h2> |
wolffd@0 | 25 <CODE>demtrain</CODE> brings up a simple GUI to show the training of |
wolffd@0 | 26 an MLP network on classification and regression problems. The user |
wolffd@0 | 27 should load in a dataset (which should be in Netlab format: see |
wolffd@0 | 28 <CODE>datread</CODE>), select the output activation function, the |
wolffd@0 | 29 number of cycles and hidden units and then |
wolffd@0 | 30 train the network. The scaled conjugate gradient algorithm is used. |
wolffd@0 | 31 A graph shows the evolution of the error: the value is shown |
wolffd@0 | 32 <CODE>max(ceil(iterations / 50), 5)</CODE> cycles. |
wolffd@0 | 33 |
wolffd@0 | 34 <p>Once the network is trained, it is saved to the file <CODE>mlptrain.net</CODE>. |
wolffd@0 | 35 The results can then be viewed as a confusion matrix (for classification |
wolffd@0 | 36 problems) or a plot of output versus target (for regression problems). |
wolffd@0 | 37 |
wolffd@0 | 38 <p><h2> |
wolffd@0 | 39 See Also |
wolffd@0 | 40 </h2> |
wolffd@0 | 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> |
wolffd@0 | 42 <b>Pages:</b> |
wolffd@0 | 43 <a href="index.htm">Index</a> |
wolffd@0 | 44 <hr> |
wolffd@0 | 45 <p>Copyright (c) Ian T Nabney (1996-9) |
wolffd@0 | 46 |
wolffd@0 | 47 |
wolffd@0 | 48 </body> |
wolffd@0 | 49 </html> |