From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: 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 --- sourcecodes/bnt-master/nethelp3.3/demtrain.htm | 49 ++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/demtrain.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/demtrain.htm') 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 @@ + + + +Netlab Reference Manual demtrain + + + +

demtrain +

+Purpose +

+Demonstrate training of MLP network. + +

+Synopsis +

+demtrain

+ + +

+Description +

+demtrain 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 +datread), 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 +max(ceil(iterations / 50), 5) cycles. + +

Once the network is trained, it is saved to the file mlptrain.net. +The results can then be viewed as a confusion matrix (for classification +problems) or a plot of output versus target (for regression problems). + +

+See Also +

+confmat, datread, mlp, netopt, scg

+Pages: +Index +