The properties of the Backpropagation class are listed below. For a complete list of Backpropagation class members, see the Backpropagation Members topic.
Public Instance Properties
 Error (inherited from BasicTraining) | Get the current error percent from the training. |
| LearningRate | The learning rate, this is value is essentially a percent. It is the degree to which the gradients are applied to the weight matrix to allow learning. |
| Levels (inherited from Propagation) | The propagation levels. |
| Momentum | The momentum for training. This is the degree to which changes from which the previous training iteration will affect this training iteration. This can be useful to overcome local minima. |
| 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. |
See Also
Backpropagation Class | Encog.Neural.Networks.Training.Propagation.Back Namespace