This class is used to help determine the optimal configuration for the hidden layers of a neural network. It can accept a pattern, which specifies the type of neural network to create, and a list of the maximum and minimum hidden layer neurons. It will then attempt to train the neural network at all configurations and see which hidden neuron counts work the best. @author jheaton

For a list of all members of this type, see PruneIncremental Members .

System.Object
   ConcurrentJob
      PruneIncremental

Thread Safety

Public static (Shared in Visual Basic) members of this type are safe for multithreaded operations. Instance members are not guaranteed to be thread-safe.

Requirements

Namespace: Encog.Neural.Networks.Prune

Assembly: encog-core-cs (in encog-core-cs.dll)

See Also

PruneIncremental Members | Encog.Neural.Networks.Prune Namespace