demtrain
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).
confmat, datread, mlp, netopt, scgCopyright (c) Ian T Nabney (1996-9)