TTrainedNetwork Node1 TTrainedNetwork + linearOutput + normalizeOutput - m_nInput - m_nHidden - m_nOutput - m_nHiddenLayerSize - m_ThresholdVectors - m_WeightMatrices - m_ActivationFunction - m_LinearOutput - m_NormalizeOutput - m_nInput and 7 more... + TTrainedNetwork() + TTrainedNetwork() + ~TTrainedNetwork() + setNewWeights() + getnInput() + getnHidden() + getnOutput() + getnHiddenLayerSize() + getActivationFunction() + getThresholdVectors() and 24 more... - sigmoid() - sigmoid() - is_consistent() - check_norm_size() Node2 TObject Node2->Node1