| Interface | Description |
|---|---|
| PatternDiscovery.ActivationEvaluation | |
| PatternDiscovery.Counter | |
| PatternDiscovery.PatternEvaluation | |
| SynapseEvaluation |
| Class | Description |
|---|---|
| InterprSupprTraining |
This learning method treats suppressed interpretations as negative training examples.
|
| InterprSupprTraining.Config | |
| LongTermLearning |
Implements the biologically inspired learning algorithms for long-term potentiation and long-term depression.
|
| LongTermLearning.Config | |
| MetaNetwork |
Meta-neurons and meta-synapses allow to generate new fully trained neurons based on a single training data set.
|
| MetaSynapse | |
| MetaSynapse.Builder | |
| NeuronStatistic | |
| PatternDiscovery | |
| PatternDiscovery.Config | |
| SupervisedTraining | |
| SupervisedTraining.Config | |
| SynapseEvaluation.Result |
| Enum | Description |
|---|---|
| SynapseEvaluation.DeleteMode |
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