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IG.Num.NeuralApproximatorAforgeFake Member List

This is the complete list of members for IG.Num.NeuralApproximatorAforgeFake, including all inherited members.

_auxErrors | IG.Num.NeuralApproximatorBase | protected
_calculatedOutputs | IG.Num.NeuralApproximatorBase | protected
_calculateVerificationErrors | IG.Num.NeuralApproximatorBase | protected
_defaultNetworkFilename | IG.Num.NeuralApproximatorBase | protected
_defaultNeuronMaxInput | IG.Num.NeuralApproximatorBase | protected
_defaultNeuronMaxOutput | IG.Num.NeuralApproximatorBase | protected
_defaultNeuronMinInput | IG.Num.NeuralApproximatorBase | protected
_defaultNeuronMinOutput | IG.Num.NeuralApproximatorBase | protected
_lastCalculationInputParameters | IG.Num.VectorApproximatorBase | protected
BreakTraining | IG.Num.NeuralApproximatorBase |
CalculateErrorsMax(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inline static
CalculateErrorsMeanAbs(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inline static
CalculateErrorsRms(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inline static
CalculateOutput(IVector input, int whichElement) | IG.Num.NeuralApproximatorAforgeFake | inline virtual
CalculateOutput(IVector input, int[] indices, ref IVector filteredOutput) | IG.Num.NeuralApproximatorAforgeFake | inline virtual
CalculateOutput(IVector input, ref IVector output) | IG.Num.NeuralApproximatorAforgeFake | inline virtual
CalculateTrainingOutputs() | IG.Num.NeuralApproximatorBase | inline protected
CalculateTrainingVerificationOutputs(bool calculateTrainingOutputs, bool calculateVerificationOutputs) | IG.Num.NeuralApproximatorBase | inline protected
CalculateVerificationErrors | IG.Num.NeuralApproximatorBase |
CalculateVerificationOutputs() | IG.Num.NeuralApproximatorBase | inline protected
ConvergenceErrorsTrainingMaxList | IG.Num.NeuralApproximatorBase |
ConvergenceErrorsTrainingRmsList | IG.Num.NeuralApproximatorBase |
ConvergenceErrorsVerificationMaxList | IG.Num.NeuralApproximatorBase |
ConvergenceErrorsVerificationRmsList | IG.Num.NeuralApproximatorBase |
CreateNetwork() | IG.Num.NeuralApproximatorAforgeFake | inline virtual
DestroyNetwork() | IG.Num.NeuralApproximatorAforgeFake | inline virtual
EpochCount | IG.Num.NeuralApproximatorBase |
EpochNumbers | IG.Num.NeuralApproximatorBase |
EpochsInBundle | IG.Num.NeuralApproximatorBase |
ExampleQuadratic() | IG.Num.NeuralApproximatorBase | inline static
ExampleQuadratic(int inputLength, int outputLength) | IG.Num.NeuralApproximatorBase | inline static
ExampleQuadratic(int inputLength, int outputLength, int outputLevel, int maxEpochs) | IG.Num.NeuralApproximatorBase | inline static
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName) | IG.Num.NeuralApproximatorBase | inline static
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName, bool saveRestored) | IG.Num.NeuralApproximatorBase | inline static
GetErrorsTrainingMax(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetErrorsTrainingMeanAbs(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetErrorsTrainingRms(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetErrorsVerificationMax(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetErrorsVerificationMeanAbs(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetErrorsVerificationRms(ref IVector errors) | IG.Num.NeuralApproximatorBase | inline
GetNetworkFilePath(string fileOrDirectoryPath, int whichNetwork) | IG.Num.NeuralApproximatorBase | inline
GetNumNeuronsInHiddenLayer(int whichLayer) | IG.Num.NeuralApproximatorBase | inline virtual
GetTrainingAndVerificationData(ref SampledDataSet trainingData, ref SampledDataSet verificationData) | IG.Num.NeuralApproximatorBase | inline
GetTrainingData(ref SampledDataSet trainingData) | IG.Num.NeuralApproximatorBase | inline
GetVerificationData(ref SampledDataSet veerificationData) | IG.Num.NeuralApproximatorBase | inline
InputBoundsSafetyFactor | IG.Num.NeuralApproximatorBase |
InputDataBounds | IG.Num.NeuralApproximatorBase |
InputLength | IG.Num.NeuralApproximatorBase |
InputNeuronsRange | IG.Num.NeuralApproximatorBase |
InternalTrainingDataPrepared | IG.Num.NeuralApproximatorBase | protected
InvalidateNetworkDependencies() | IG.Num.NeuralApproximatorBase | inline virtual
InvalidateTrainingDataDependencies() | IG.Num.NeuralApproximatorBase | inline virtual
InvalidateTrainingDependencies() | IG.Num.NeuralApproximatorBase | inline virtual
LearningRate | IG.Num.NeuralApproximatorBase |
LoadJson(string filePath, ref INeuralApproximator approximatorRestored) | IG.Num.NeuralApproximatorBase | inline static
LoadNetwork(string filePath) | IG.Num.NeuralApproximatorBase | inline
LoadNetworkSpecific(string filePath) | IG.Num.NeuralApproximatorAforgeFake | inline protected virtual
LoadTrainingDataJson(string filePath) | IG.Num.NeuralApproximatorBase | inline
LoadTrainingDataJson_To_Delete(string filePath) | IG.Num.NeuralApproximatorBase | inline
Lock | IG.Num.VectorApproximatorBase |
MapFromNeuralInput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapFromNeuralInput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapFromNeuralOutput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapFromNeuralOutput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapInput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapInput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapOutput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inline protected virtual
MapOutput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inline protected virtual
MaxEpochs | IG.Num.NeuralApproximatorBase |
Momentum | IG.Num.NeuralApproximatorBase |
MultipleNetworks | IG.Num.NeuralApproximatorBase |
NetworkPrepared | IG.Num.NeuralApproximatorBase |
NetworkStateFilePath | IG.Num.NeuralApproximatorBase |
NetworkStateRelativePath | IG.Num.NeuralApproximatorBase |
NetworkTrained | IG.Num.NeuralApproximatorBase |
NeuralApproximatorBase() | IG.Num.NeuralApproximatorBase | inline
NeuralApproximatorType | IG.Num.NeuralApproximatorBase |
NumAllTrainingPoints | IG.Num.NeuralApproximatorBase |
NumHiddenLayers | IG.Num.NeuralApproximatorBase |
NumHiddenNeurons | IG.Num.NeuralApproximatorBase |
NumTrainingPoints | IG.Num.NeuralApproximatorBase |
NumVerificationPoints | IG.Num.NeuralApproximatorBase |
OutputBoundsSafetyFactor | IG.Num.NeuralApproximatorBase |
OutputDataBounds | IG.Num.NeuralApproximatorBase |
OutputLength | IG.Num.NeuralApproximatorBase |
OutputLevel | IG.Num.NeuralApproximatorBase |
OutputNeuronsRange | IG.Num.NeuralApproximatorBase |
PrepareErrorData(ref int dimOutput, ref IVector[] prescribed, ref IVector[] calculated, bool takeTrainingPoints, bool takeVerificationPoints) | IG.Num.NeuralApproximatorBase | inline protected virtual
PrepareInternalTrainingData() | IG.Num.NeuralApproximatorAforgeFake | inline protected virtual
PrepareNetwork() | IG.Num.NeuralApproximatorAforgeFake | inline virtual
PrepareNetworksArray() | IG.Num.NeuralApproximatorAforgeFake | inline protected virtual
RecalculateDataBounds() | IG.Num.NeuralApproximatorBase | inline
RecalculateDataBounds(SampledDataSet trainingData) | IG.Num.NeuralApproximatorBase | inline
RecalculateInputDataBounds() | IG.Num.NeuralApproximatorBase | inline
RecalculateInputDataBounds(SampledDataSet trainingData) | IG.Num.NeuralApproximatorBase | inline
RecalculateOutputDataBounds() | IG.Num.NeuralApproximatorBase | inline
RecalculateOutputDataBounds(SampledDataSet trainingData) | IG.Num.NeuralApproximatorBase | inline
ResetNetwork() | IG.Num.NeuralApproximatorAforgeFake | inline virtual
SaveConvergenceRms | IG.Num.NeuralApproximatorBase |
SaveJson(INeuralApproximator approximator, string filePath) | IG.Num.NeuralApproximatorBase | inline static
SaveJson(INeuralApproximator approximator, string filePath, bool saveInternalState) | IG.Num.NeuralApproximatorBase | inline static
SaveNetwork(string filePath) | IG.Num.NeuralApproximatorBase | inline
SaveNetworkSpecific(string filePath) | IG.Num.NeuralApproximatorAforgeFake | inline protected virtual
SaveTrainingDataJson(string filePath) | IG.Num.NeuralApproximatorBase | inline
SaveTrainingDataJson_To_delete(string filePath) | IG.Num.NeuralApproximatorBase | inline
SetHiddenLayers(params int[] numNeurons) | IG.Num.NeuralApproximatorBase | inline virtual
SetMaxToleranceRelstiveToRange() | IG.Num.NeuralApproximatorBase | inline protected
SetNeuronsInputRange(double min, double max) | IG.Num.NeuralApproximatorBase | inline
SetNeuronsOutputRange(double min, double max) | IG.Num.NeuralApproximatorBase | inline
SetNumNeuronsInHiddenLayer(int whichLayer, int numNeurons) | IG.Num.NeuralApproximatorBase | inline virtual
SetRmsToleranceRelstiveToRange() | IG.Num.NeuralApproximatorBase | inline protected
SetTrainingAndVerificationData(SampledDataSet trainingData, SampledDataSet verificationData) | IG.Num.NeuralApproximatorBase | inline
SigmoidAlphaValue | IG.Num.NeuralApproximatorBase |
StopTrainingCriteriaMet() | IG.Num.NeuralApproximatorBase | inline virtual
TestMapping() | IG.Num.NeuralApproximatorBase | inline
ToleranceMax | IG.Num.NeuralApproximatorBase |
ToleranceMaxRelativeToRange | IG.Num.NeuralApproximatorBase |
ToleranceMaxRelativeToRangeScalar | IG.Num.NeuralApproximatorBase |
ToleranceRms | IG.Num.NeuralApproximatorBase |
ToleranceRmsRelativeToRange | IG.Num.NeuralApproximatorBase |
ToleranceRmsRelativeToRangeScalar | IG.Num.NeuralApproximatorBase |
ToString() | IG.Num.NeuralApproximatorBase | inline
TrainingData | IG.Num.NeuralApproximatorBase |
TrainingOutputsCalculated | IG.Num.NeuralApproximatorBase | protected
TrainNetwork(int numEpochs) | IG.Num.NeuralApproximatorBase | inline
TrainNetwork() | IG.Num.NeuralApproximatorBase | inline virtual
TrainNetworkMultiple(int numEpochs, int numIterations) | IG.Num.NeuralApproximatorBase | inline
TrainNetworkMultiple(int numIterations) | IG.Num.NeuralApproximatorBase | inline
TrainNetworkSpecific(int numEpochs) | IG.Num.NeuralApproximatorAforgeFake | inline protected virtual
VerificationIndices | IG.Num.NeuralApproximatorBase |
VerificationOutputsCalculated | IG.Num.NeuralApproximatorBase | protected