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    Spiking Neuron Network Simulator
    1.0
    
   Simulation and training of spiking neuron networks, primarily theta neurons 
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Classes | |
| class | ErrorDerivativeParameters | 
| Error Derivative Parameters Class  More... | |
| class | ErrorDerivativeParametersBatch | 
| Error Derivative Parameters Batch Class For Tracking Running Totals in Error Derivatives  More... | |
| class | NeuronDerivativeParameters | 
| Neuron Derivative Parameters Class  More... | |
| class | QuickPropTraining | 
| Quick Prop Training Class, inherits from ITrainingAlgorithm  More... | |
| class | RpropTraining | 
| RProp Training Class, inherits from ITrainingAlgorithm  More... | |
| class | SteepestDescentTraining | 
| Steepest Descent Training Class, inherits from ITrainingAlgorithm  More... | |
| class | SteepestDescentWithMomentumTraining | 
| Steepest Descent Training With Momentum Class, inherits from ITrainingAlgorithm  More... | |
| class | TrainingStats | 
| Training Statistics Class  More... | |
| class | TrainingStatsPerEpoch | 
| Training Stats Per Epoch Class, inherits from a tuple representing the error and non-firing neuron indices  More... | |
| class | TrainNetwork | 
| Train Network Class  More... | |
Enumerations | |
| enum | TrainingMethod { TrainingMethod.Online, TrainingMethod.Batch } | 
| Training Method Enum  More... | |
Training Method Enum
| Enumerator | |
|---|---|
| Online | 
 Online Training  | 
| Batch | 
 Batch Training  | 
Definition at line 6 of file TrainingMethod.cs.