The methods of the PruneSelective class are listed below. For a complete list of PruneSelective class members, see the PruneSelective Members topic.
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) |
Finalize (inherited from Object) | |
MemberwiseClone (inherited from Object) |
PruneSelective Class | Encog.Neural.Networks.Prune Namespace