Public Instance Constructors
ManhattanPropagation
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Overloaded. Initializes a new instance of the ManhattanPropagation class. |
Public Instance Properties
 Error (inherited from BasicTraining) | Get the current error percent from the training. |
| LearningRate | The learning rate that was specified in the constructor. |
| Levels (inherited from Propagation) | The propagation levels. |
| 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 that was specified in the constructor. |
Public Instance Methods
| 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 (inherited from Propagation) | Calculate the error for the recognition just done. |
| Equals (inherited from Object) | |
| GetHashCode (inherited from Object) | |
| GetType (inherited from Object) | |
| Iteration (inherited from Propagation) | 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) |
Protected Instance Methods
 Finalize (inherited from Object) | |
| MemberwiseClone (inherited from Object) |
See Also
ManhattanPropagation Class | Encog.Neural.Networks.Training.Propagation.Manhattan Namespace