A hybrid stragey allows a secondary training algorithm to be used. Once the primary algorithm is no longer improving by much, the secondary will be used. Using simulated annealing in as a secondary to one of the propagation methods is often a very efficient combination as it can help the propagation method escape a local minimum. This is particularly true with backpropagation.

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

System.Object
   HybridStrategy

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.Training.Strategy

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

See Also

HybridStrategy Members | Encog.Neural.Networks.Training.Strategy Namespace