This class is used to generate an Jordan style recurrent neural network. This network type consists of three regular layers, an input output and hidden layer. There is also a context layer which accepts output from the output layer and outputs back to the hidden layer. This makes it a recurrent neural network. The Jordan neural network is useful for temporal input data. The specified activation function will be used on all layers. The Jordan neural network is similar to the Elman neural network.

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

System.Object
   JordanPattern

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.Pattern

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

See Also

JordanPattern Members | Encog.Neural.Networks.Pattern Namespace