| aureservoir::AUExcept | |
| aureservoir::BPFilter< T > | Simple bandpass filter based on an exponential moving average |
| aureservoir::CalcDelay< T > | Template class for delay calculation |
| aureservoir::CDEVector< T > | Typedef trait class of a complex dense vector with type T |
| aureservoir::DelayLine< T > | Template class for a signal delay line |
| aureservoir::DEMatrix< T > | Typedef trait class of a real dense matrix with type T |
| aureservoir::DEVector< T > | Typedef trait class of a real dense vector with type T |
| aureservoir::ESN< T > | Class for a basic Echo State Network |
| aureservoir::IIRFilter< T > | General IIR filter implemented in transposed direct form 2 |
| aureservoir::InitBase< T > | Abstract base class for initialization algorithms |
| aureservoir::InitStd< T > | Standard initialization as described in Jaeger's initial paper |
| aureservoir::Rand< T > | Template class for random number generation |
| aureservoir::SerialIIRFilter< T > | Serie of IIR Filters |
| aureservoir::SimBase< T > | Abstract base class for simulation algorithms |
| aureservoir::SimBP< T > | Algorithm with bandpass style neurons as in Wustlich and Siewert |
| aureservoir::SimFilter< T > | Algorithm with general IIR-Filter neurons |
| aureservoir::SimFilter2< T > | Algorithm with IIR-Filter before neuron nonlinearity |
| aureservoir::SimFilterDS< T > | IIR-Filter neurons with additional delay&sum readout |
| aureservoir::SimLI< T > | Algorithm with leaky integrator neurons |
| aureservoir::SimSquare< T > | Algorithm with additional squared state updates |
| aureservoir::SimStd< T > | Standard simulation algorithm as in Jaeger's initial paper |
| aureservoir::SPMatrix< T > | Typedef trait class of a real sparse matrix with type T |
| aureservoir::TrainBase< T > | Abstract base class for training algorithms |
| aureservoir::TrainDSPI< T > | Offline algorithm for delay&sum readout with PI |
| aureservoir::TrainLS< T > | Offline trainig algorithm using the least square solution |
| aureservoir::TrainPI< T > | Offline trainig algorithm using the pseudo inverse |
| aureservoir::TrainRidgeReg< T > | Offline algorithm with Ridge Regression / Tikhonov Regularization |
1.5.3