The properties of the ResilientPropagation class are listed below. For a complete list of ResilientPropagation class members, see the ResilientPropagation Members topic.
Error (inherited from BasicTraining) | Get the current error percent from the training. |
InitialUpdate | The initial update amount, set by the constructor. |
Levels (inherited from Propagation) | The propagation levels. |
MaxStep | The maximum step, set by the constructor. |
Network (inherited from Propagation) | Get the current best neural network. |
OutputHolder (inherited from Propagation) | The output holder being used. |
Strategies (inherited from BasicTraining) | The strategies to use. |
Training (inherited from BasicTraining) | The training data to use. |
ZeroTolerance | The zero tolerance, set by the constructor. |
ResilientPropagation Class | Encog.Neural.Networks.Training.Propagation.Resilient Namespace