TTrainedNetwork Node1 TTrainedNetwork + linearOutput + normalizeOutput - m_nInput - m_nHidden - m_nOutput - m_ActivationFunction - m_LinearOutput - m_NormalizeOutput - m_nInput - m_nHidden - m_nOutput - m_bufferSizeMax - m_maxExpValue + TTrainedNetwork() + TTrainedNetwork() + ~TTrainedNetwork() + setNewWeights() + getnInput() + getnHidden() + getnOutput() + getnHiddenLayerSize() + getActivationFunction() + getThresholdVectors() and 24 more... - sigmoid() - sigmoid() - is_consistent() - check_norm_size() Node2 TObject Node2->Node1 Node3 std::map< std::string, int > + elements Node3->Node1 -m_inputStringToNode Node4 std::string Node4->Node3 +keys Node5 std::basic_string< char > Node5->Node4 Node6 std::vector< Double_t > + elements Node6->Node1 -m_input_node_offset -m_input_node_scale Node7 std::vector< Int_t > + elements Node7->Node1 -m_nHiddenLayerSize Node8 std::vector< TMatrixD * > + elements Node8->Node1 -m_WeightMatrices Node9 std::vector< TVectorD * > + elements Node9->Node1 -m_ThresholdVectors