The methods of the Propagation class are listed below. For a complete list of Propagation class members, see the Propagation Members topic.
AddStrategy (inherited from BasicTraining) | Training strategies can be added to improve the training results. There are a number to choose from, and several can be used at once. |
BackwardPass | Calculate the error for the recognition just done. |
Equals (inherited from Object) | |
GetHashCode (inherited from Object) | |
GetType (inherited from Object) | |
Iteration | Perform one iteration of training. Note: if you get a StackOverflowError while training, then you have endless recurrent loops. Try inserting no trainable synapses on one side of the loop. |
PostIteration (inherited from BasicTraining) | Call the strategies after an iteration. |
PreIteration (inherited from BasicTraining) | Call the strategies before an iteration. |
ToString (inherited from Object) |
Finalize (inherited from Object) | |
MemberwiseClone (inherited from Object) |
Propagation Class | Encog.Neural.Networks.Training.Propagation Namespace