New Network

New Network

The New Network dialog is used for the creation and growth of a new neural network from the values in the Grid.   During optimization a new network is created every time the period of cycles or seconds completes.   The number of hidden nodes in each layer that is checked grows from minimum to maximum.   Each network is checked by training it for a short period.   The network that produces the lowest error is selected for further training and validating.

 

Unconnected frameworks can be created without connections if the Network Editor is to be used.

 

1 . Growth rateGrowth rate

Growth rate

A network is produced when the cycles or seconds elapses until the optimum network is found.

 

2 . Input layerInput layer

Input layer

The number of nodes in the input layer is determined by the number of input columns in the grid.

 

3 . Hidden layersHidden layers

Hidden layers

The hidden layers are grown from the minimum to the maximum number of nodes.

 

4 . Output layerOutput layer

Output layer

The number of nodes in the output layer is determined by the number of output columns in the grid.

 

5 . Connect layersConnect layers

Connect layers

If checked all connections are created automatically.   If not checked the optimum number of nodes will be created but not connected together.   This is so that the network editor can be used to produce complex configurations.

 

6 . Set trimmingSet trimming

Set trimming

Opens the trimming dialog to set up weight pruning, unimportant input node deleting and highest error example row excluding.

 

7 . OK buttonOK button

OK button

Press to accept all the settings.

 

8 . Cancel buttonCancel button

Cancel button

Press to reject all the settings.

 

9 . Set freezesSet freezes

Set freezes

Opens the Freezes dialog. Set the node types to freeze, the initial range, the direction of freezes and the freeze decrement conditions.