|
Class Summary |
| Axon |
An axon connects two neurons. |
| ErrorCalculator |
The error calculator calculates the error based on some agorithm, for example,
sum of squares. |
| ErrorManager |
The error manager allows you to configure error
calculators and maintains a history of errors. |
| Evaluator |
Evaluates the network, using the error calculators to accumulate
error information. |
| Example |
Encapsulates an example - which is a set of inputs and a set of
expected values. |
| ExampleSet |
An example set is a set of examples. |
| Network |
This is a neural network. |
| NetworkBuilder |
TODO Implement a generic network builder. |
| Neuron |
A neuron is a basic processing unit in the network. |
| NeuronTraining |
This class is used by the neuron to facilitate training. |
| Pocket |
|
| Result |
A result is the inputs and their expected values. |
| ResultSet |
A result set is a collection of inputs and their returned results. |
| Trainer |
Trains the network. |
| TrainingEpochEvent |
The epoch event. |