Documentation For Encog 2.x

PruneSelective Methods

The methods of the PruneSelective class are listed below. For a complete list of PruneSelective class members, see the PruneSelective Members topic.

Public Instance Methods

ChangeNeuronCount Change the neuron count for the network. If the count is increased then a zero-weighted neuron is added, which will not affect the output of the neural network. If the neuron count is decreased, then the weakest neuron will be removed.
DetermineNeuronSignificance Determine the significance of the neuron. The higher the return value, the more significant the neuron is.
Equals (inherited from Object) 
GetHashCode (inherited from Object) 
GetType (inherited from Object) 
Prune Prune one of the neurons from this layer. Remove all entries in this weight matrix and other layers.
ToString (inherited from Object) 

Protected Instance Methods

Finalize (inherited from Object) 
MemberwiseClone (inherited from Object) 

See Also

PruneSelective Class | Encog.Neural.Networks.Prune Namespace