With this window the simulator is operated. Figure shows this window. Table lists all the input options with types and value ranges. The meaning of the 5 learning parameters depends upon the learning function selected with the menu select learning function invoked by the button of the control panel.
Table: Input fields of the control panel
There are the following text fields, buttons and menu buttons:
Notation:
Criteria for adequacy of the estimated model in the sample
Pearson's , the proportion of variance, is explained or accounted
by the model:
Criteria for adequacy of the true model in the population
The mean square error [JGHL80] is defined as: , the root mean square error as: .
The , the [JGHL80] adjusted for degrees of
freedom, is defined as:
Criteria for adequacy of the estimated model in the population
Anemiya's prediction criterion [JGHL80] is similar to the
:
The estimated mean square error of prediction () assuming that
the values of the regressors are fixed and that the model is correct
is:
The conservative mean square error in prediction [Weh94]
is:
The generalized cross validation (GCV) is given by Wahba
[GHW79] as:
The estimated mean square error of prediction assuming that both
independent and dependent variables are multivariate normal is
defined as:
Shibata's criterion can be found in
[Shi68].
Finally, there is Akaikes information criterion [JGHL80]:
and the Schwarz's Bayesian criterion
[JGHL80]:
.Obviously, most of these selection criteria do only make sense, if
n>>p.
The error reported in the text window is the sum of the quadratic differences between the teaching input and the real output over all output units. The average error per output unit is given behind ave.
The error reported in the text window is the sum of the quadratic difference between the teaching input and the real output over all output units summed over the number of patterns presented. The average error per output unit is given behind ave.
If jog weights is selected, a popup window appears to specify the value range ( low limit .. high limit) of the random noise to be added to all links in the network.
The label of this button always displays the item selected from the menu.
The current activation of the input units and the current output values of output units of the network loaded make up the input and output pattern. These values might have been set with the network editor and the Info panel before.