PARTONS/NumA++
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Numerical Analysis C++ routines
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This is the complete list of members for NumA::NeuralNetwork, including all inherited members.
checkConsistency() const | NumA::NeuralNetwork | private |
clone() const | NumA::NeuralNetwork | virtual |
connectLayersOneToOne(NeuralNetworkLayer *const layerIn, NeuralNetworkLayer *const layerOut, bool fixNeurons) | NumA::NeuralNetwork | private |
connectLayersPermutive(NeuralNetworkLayer *const layerIn, NeuralNetworkLayer *const layerOut, bool fixNeurons) | NumA::NeuralNetwork | private |
connectTwoCellsByNeuron(NeuralNetworkCell *const cell1, NeuralNetworkCell *const cell2, bool fixNeuron) | NumA::NeuralNetwork | private |
evaluate(const Data &input) const | NumA::NeuralNetwork | |
evaluateForOnePoint(const Data &input, unsigned int iPoint) const | NumA::NeuralNetwork | |
getNeuralNetworkCells() const | NumA::NeuralNetwork | |
getNeuralNetworkLayers() const | NumA::NeuralNetwork | |
getNeuralNetworkNeurons() const | NumA::NeuralNetwork | |
getNIn() const | NumA::NeuralNetwork | |
getNOut() const | NumA::NeuralNetwork | |
m_neuralNetworkCells | NumA::NeuralNetwork | private |
m_neuralNetworkLayers | NumA::NeuralNetwork | private |
m_neuralNetworkNeurons | NumA::NeuralNetwork | private |
m_nIn | NumA::NeuralNetwork | private |
m_nOut | NumA::NeuralNetwork | private |
NeuralNetwork() | NumA::NeuralNetwork | |
NeuralNetwork(unsigned int nIn, unsigned int nOut, const std::vector< unsigned int > &perceptronLayers, ActivationFunctionType::Type hiddenActivationFunctionType, CombinationFunctionType::Type hiddenCombinationFunctionType, ActivationFunctionType::Type outputActivationFunctionType, CombinationFunctionType::Type outputCombinationFunctionType, ScalingFunctionType::Type scalingFunctionType) | NumA::NeuralNetwork | |
NeuralNetwork(const NeuralNetwork &other) | NumA::NeuralNetwork | |
setScalingParameters(const Data &input, const Data &output) const | NumA::NeuralNetwork | |
toString() const | NumA::NeuralNetwork | virtual |
train(const Data &input, const Data &output, TrainingAlgorithmType::Type trainingAlgorithmType, TrainingFunctionType::Type trainingFunctionType, const std::vector< double > ¶meters) | NumA::NeuralNetwork | |
~NeuralNetwork() | NumA::NeuralNetwork | virtual |