Scenario 
Type 
Detail 
Basic parameters of the network 
Basic Path 
The user must insert some parameters of the network, that are necessary to create the net correctly. Basic parameters are :  number of hidden layers (integer always > 0)  hidden because there is always one input and output layer  number of nodes in each hidden layer (integer or integers divided by semicolon)  as many values as the number of hidden layers is  stopping parameter (in which case the layer is going to stop with learning)  the only one condition is after the selection used  number of learning cycles (integer)  timeout in miliseconds (integer)  total error of the network in % (double)
Every parameter is checked for its correctness before leaving the dialog. 
Implicit advanced parameters 
Basic Path 
If the user do not want to fill in advanced parameters, than these are used :  learning parameter = 0,5  learning moment = 0,05  slope of the sigmoid function = 1  initial weights and thresholds = 0,2

Advanced parameters of the network 
Alternate 
The user is able to define some advanced parameters of the network  learning parameter (double)  learning moment (double)  the slope of sigmoid function (double)  initial maximal values of thresholds and weights of each node (initial value is a random number in absolute value not higher than this number)
Filled numbers are controlled for their correctness. 