A simple greedy strategy. If the last iteration did not improve training, then discard it. Care must be taken with this strategy, as sometimes a training algorithm may need to temporarily decrease the error level before improving it.

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

System.Object
   Greedy

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

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