 | Backpropagation Methods |
The Backpropagation type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | AdjustWeights(Layer, Single, Single, Single) |
Adjust the weights of every neuron.
|
| AdjustWeights(Perceptron, Single, Single, Single) |
Adjust the weights of the given neuron.
|
 | CalcError |
Calculate new error values for the output layer.
|
| PropagateError |
Propagate error values from the output layer backwards.
|
| ResetNeurons |
Reset every neuron on every layer in the given set.
|
| RunAsyncTraining |
Start training the given network.
|
| RunTraining |
Run the backpropagation algorithm.
|
| StopAsyncTraining |
Request the training in progress to be cancelled.
|
| TrainSample |
Run a single iteration of the backpropagation.
|
See Also