| bias() const | shark::RecurrentStructure | inline |
| BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
| connection(std::size_t i, std::size_t j) const | shark::RecurrentStructure | inline |
| connections() const | shark::RecurrentStructure | inline |
| FastSigmoid enum value | shark::RecurrentStructure | |
| inputs() const | shark::RecurrentStructure | inline |
| Linear enum value | shark::RecurrentStructure | |
| load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
| Logistic enum value | shark::RecurrentStructure | |
| m_bias | shark::RecurrentStructure | protected |
| m_connectionMatrix | shark::RecurrentStructure | protected |
| m_hidden | shark::RecurrentStructure | protected |
| m_inputNeurons | shark::RecurrentStructure | protected |
| m_numberOfNeurons | shark::RecurrentStructure | protected |
| m_numberOfParameters | shark::RecurrentStructure | protected |
| m_numberOfUnits | shark::RecurrentStructure | protected |
| m_outputNeurons | shark::RecurrentStructure | protected |
| m_sigmoidType | shark::RecurrentStructure | protected |
| m_weights | shark::RecurrentStructure | protected |
| neuron(double activation) | shark::RecurrentStructure | |
| neuronDerivative(double activation) | shark::RecurrentStructure | |
| numberOfNeurons() const | shark::RecurrentStructure | inline |
| numberOfUnits() const | shark::RecurrentStructure | inline |
| outputs() const | shark::RecurrentStructure | inline |
| parameters() const | shark::RecurrentStructure | inline |
| parameterVector() const | shark::RecurrentStructure | |
| read(InArchive &archive) | shark::RecurrentStructure | virtual |
| RecurrentStructure() | shark::RecurrentStructure | |
| save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
| setParameterVector(RealVector const &newParameters) | shark::RecurrentStructure | |
| setSigmoidType(SigmoidType sigmoidType) | shark::RecurrentStructure | inline |
| setStructure(std::size_t inputs, std::size_t outputs, const IntMatrix &connections, SigmoidType sigmoidType=Logistic) | shark::RecurrentStructure | |
| setStructure(std::size_t in, std::size_t hidden, std::size_t out, bool bias=true, SigmoidType sigmoidType=Logistic) | shark::RecurrentStructure | |
| setWeights(const RealMatrix &weights) | shark::RecurrentStructure | |
| SigmoidType enum name | shark::RecurrentStructure | |
| sigmoidType() const | shark::RecurrentStructure | inline |
| Tanh enum value | shark::RecurrentStructure | |
| weight(std::size_t i, std::size_t j) const | shark::RecurrentStructure | inline |
| weights() const | shark::RecurrentStructure | inline |
| write(OutArchive &archive) const | shark::RecurrentStructure | virtual |
| ~ISerializable() | shark::ISerializable | inlinevirtual |