IGLib  1.5
The IGLib base library for development of numerical, technical and business applications.
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IG.Neural.NeuralApproximatorAforge Member List

This is the complete list of members for IG.Neural.NeuralApproximatorAforge, including all inherited members.

_auxErrorsIG.Num.NeuralApproximatorBaseprotected
_calculatedOutputsIG.Num.NeuralApproximatorBaseprotected
_calculateVerificationErrorsIG.Num.NeuralApproximatorBaseprotected
_defaultNetworkFilenameIG.Num.NeuralApproximatorBaseprotected
_defaultNeuronMaxInputIG.Num.NeuralApproximatorBaseprotected
_defaultNeuronMaxOutputIG.Num.NeuralApproximatorBaseprotected
_defaultNeuronMinInputIG.Num.NeuralApproximatorBaseprotected
_defaultNeuronMinOutputIG.Num.NeuralApproximatorBaseprotected
_lastCalculationInputParametersIG.Num.VectorApproximatorBaseprotected
_networksIG.Neural.NeuralApproximatorAforgeprotected
_singleNetworkOutputsIG.Neural.NeuralApproximatorAforgeprivate
_teachersIG.Neural.NeuralApproximatorAforgeprotected
_trainingInputsAForgeIG.Neural.NeuralApproximatorAforgeprivate
_trainingOutputsAForgeIG.Neural.NeuralApproximatorAforgeprivate
BreakTrainingIG.Num.NeuralApproximatorBase
CalculateErrorsMax(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG.Num.NeuralApproximatorBaseinlinestatic
CalculateErrorsMeanAbs(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG.Num.NeuralApproximatorBaseinlinestatic
CalculateErrorsRms(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG.Num.NeuralApproximatorBaseinlinestatic
CalculateOutput(IVector input, ref IVector output)IG.Neural.NeuralApproximatorAforgeinline
IG::Num::NeuralApproximatorBase.CalculateOutput(IVector input, int whichElement)IG.Num.NeuralApproximatorBaseinline
IG::Num::NeuralApproximatorBase.CalculateOutput(IVector input, int[] indices, ref IVector filteredOutput)IG.Num.NeuralApproximatorBaseinline
CalculateTrainingOutputs()IG.Num.NeuralApproximatorBaseinlineprotected
CalculateTrainingVerificationOutputs(bool calculateTrainingOutputs, bool calculateVerificationOutputs)IG.Num.NeuralApproximatorBaseinlineprotected
CalculateVerificationErrorsIG.Num.NeuralApproximatorBase
CalculateVerificationOutputs()IG.Num.NeuralApproximatorBaseinlineprotected
ConvergenceErrorsTrainingMaxListIG.Num.NeuralApproximatorBase
ConvergenceErrorsTrainingRmsListIG.Num.NeuralApproximatorBase
ConvergenceErrorsVerificationMaxListIG.Num.NeuralApproximatorBase
ConvergenceErrorsVerificationRmsListIG.Num.NeuralApproximatorBase
CreateActivationFunction()IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
CreateNetwork()IG.Neural.NeuralApproximatorAforgeinline
DestroyNetwork()IG.Neural.NeuralApproximatorAforgeinline
EpochCountIG.Num.NeuralApproximatorBase
EpochNumbersIG.Num.NeuralApproximatorBase
EpochsInBundleIG.Num.NeuralApproximatorBase
ExampleQuadratic()IG.Num.NeuralApproximatorBaseinlinestatic
ExampleQuadratic(int inputLength, int outputLength)IG.Num.NeuralApproximatorBaseinlinestatic
ExampleQuadratic(int inputLength, int outputLength, int outputLevel, int maxEpochs)IG.Num.NeuralApproximatorBaseinlinestatic
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName)IG.Num.NeuralApproximatorBaseinlinestatic
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName, bool saveRestored)IG.Num.NeuralApproximatorBaseinlinestatic
GetErrorsTrainingMax(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetErrorsTrainingMeanAbs(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetErrorsTrainingRms(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetErrorsVerificationMax(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetErrorsVerificationMeanAbs(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetErrorsVerificationRms(ref IVector errors)IG.Num.NeuralApproximatorBaseinline
GetNetworkFilePath(string fileOrDirectoryPath, int whichNetwork)IG.Num.NeuralApproximatorBaseinline
GetNumNeuronsInHiddenLayer(int whichLayer)IG.Num.NeuralApproximatorBaseinlinevirtual
GetSingleNetworkTrainingOutput(int whichNetwork)IG.Neural.NeuralApproximatorAforgeinlineprotected
GetTrainingAndVerificationData(ref SampledDataSet trainingData, ref SampledDataSet verificationData)IG.Num.NeuralApproximatorBaseinline
GetTrainingData(ref SampledDataSet trainingData)IG.Num.NeuralApproximatorBaseinline
GetVerificationData(ref SampledDataSet veerificationData)IG.Num.NeuralApproximatorBaseinline
InputBoundsSafetyFactorIG.Num.NeuralApproximatorBase
InputDataBoundsIG.Num.NeuralApproximatorBase
InputLengthIG.Num.NeuralApproximatorBase
InputNeuronsRangeIG.Num.NeuralApproximatorBase
InternalTrainingDataPreparedIG.Num.NeuralApproximatorBaseprotected
InvalidateNetworkDependencies()IG.Num.NeuralApproximatorBaseinlinevirtual
InvalidateTrainingDataDependencies()IG.Num.NeuralApproximatorBaseinlinevirtual
InvalidateTrainingDependencies()IG.Num.NeuralApproximatorBaseinlinevirtual
LearningRateIG.Num.NeuralApproximatorBase
LoadJson(string filePath, ref INeuralApproximator approximatorRestored)IG.Num.NeuralApproximatorBaseinlinestatic
LoadNetwork(string filePath)IG.Num.NeuralApproximatorBaseinline
LoadNetworkSpecific(string fileOrDirectoryPath)IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
LoadTrainingDataJson(string filePath)IG.Num.NeuralApproximatorBaseinline
LoadTrainingDataJson_To_Delete(string filePath)IG.Num.NeuralApproximatorBaseinline
LockIG.Num.NeuralApproximatorBase
MapFromNeuralInput(int componentIndex, double value)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapFromNeuralInput(IVector values, ref IVector mappedValues)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapFromNeuralOutput(int componentIndex, double value)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapFromNeuralOutput(IVector values, ref IVector mappedValues)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapInput(int componentIndex, double value)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapInput(IVector values, ref IVector mappedValues)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapOutput(int componentIndex, double value)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MapOutput(IVector values, ref IVector mappedValues)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
MaxEpochsIG.Num.NeuralApproximatorBase
MomentumIG.Num.NeuralApproximatorBase
MultipleNetworksIG.Num.NeuralApproximatorBase
NetworkPreparedIG.Num.NeuralApproximatorBase
NetworkStateFilePathIG.Num.NeuralApproximatorBase
NetworkStateRelativePathIG.Num.NeuralApproximatorBase
NetworkTrainedIG.Num.NeuralApproximatorBase
NeuralApproximatorAforge()IG.Neural.NeuralApproximatorAforgeinline
NeuralApproximatorBase()IG.Num.NeuralApproximatorBaseinline
NeuralApproximatorTypeIG.Num.NeuralApproximatorBase
NumAllTrainingPointsIG.Num.NeuralApproximatorBase
NumHiddenLayersIG.Num.NeuralApproximatorBase
NumHiddenNeuronsIG.Num.NeuralApproximatorBase
NumTrainingPointsIG.Num.NeuralApproximatorBase
NumVerificationPointsIG.Num.NeuralApproximatorBase
OutputBoundsSafetyFactorIG.Num.NeuralApproximatorBase
OutputDataBoundsIG.Num.NeuralApproximatorBase
OutputLengthIG.Num.NeuralApproximatorBase
OutputLevelIG.Num.NeuralApproximatorBase
OutputNeuronsRangeIG.Num.NeuralApproximatorBase
PrepareErrorData(ref int dimOutput, ref IVector[] prescribed, ref IVector[] calculated, bool takeTrainingPoints, bool takeVerificationPoints)IG.Num.NeuralApproximatorBaseinlineprotectedvirtual
PrepareInternalTrainingData()IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
PrepareNetwork()IG.Neural.NeuralApproximatorAforgeinline
PrepareNetworksArray()IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
RecalculateDataBounds()IG.Num.NeuralApproximatorBaseinline
RecalculateDataBounds(SampledDataSet trainingData)IG.Num.NeuralApproximatorBaseinline
RecalculateInputDataBounds()IG.Num.NeuralApproximatorBaseinline
RecalculateInputDataBounds(SampledDataSet trainingData)IG.Num.NeuralApproximatorBaseinline
RecalculateOutputDataBounds()IG.Num.NeuralApproximatorBaseinline
RecalculateOutputDataBounds(SampledDataSet trainingData)IG.Num.NeuralApproximatorBaseinline
ResetNetwork()IG.Neural.NeuralApproximatorAforgeinline
SaveConvergenceRmsIG.Num.NeuralApproximatorBase
SaveJson(INeuralApproximator approximator, string filePath)IG.Num.NeuralApproximatorBaseinlinestatic
SaveJson(INeuralApproximator approximator, string filePath, bool saveInternalState)IG.Num.NeuralApproximatorBaseinlinestatic
SaveNetwork(string filePath)IG.Num.NeuralApproximatorBaseinline
SaveNetworkSpecific(string fileOrDirectoryPath)IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
SaveTrainingDataJson(string filePath)IG.Num.NeuralApproximatorBaseinline
SaveTrainingDataJson_To_delete(string filePath)IG.Num.NeuralApproximatorBaseinline
SetHiddenLayers(params int[] numNeurons)IG.Num.NeuralApproximatorBaseinlinevirtual
SetMaxToleranceRelstiveToRange()IG.Num.NeuralApproximatorBaseinlineprotected
SetNeuronsInputRange(double min, double max)IG.Num.NeuralApproximatorBaseinline
SetNeuronsOutputRange(double min, double max)IG.Num.NeuralApproximatorBaseinline
SetNumNeuronsInHiddenLayer(int whichLayer, int numNeurons)IG.Num.NeuralApproximatorBaseinlinevirtual
SetRmsToleranceRelstiveToRange()IG.Num.NeuralApproximatorBaseinlineprotected
SetTrainingAndVerificationData(SampledDataSet trainingData, SampledDataSet verificationData)IG.Num.NeuralApproximatorBaseinline
SigmoidAlphaValueIG.Num.NeuralApproximatorBase
StopTrainingCriteriaMet()IG.Num.NeuralApproximatorBaseinlinevirtual
TestMapping()IG.Num.NeuralApproximatorBaseinline
ToleranceMaxIG.Num.NeuralApproximatorBase
ToleranceMaxRelativeToRangeIG.Num.NeuralApproximatorBase
ToleranceMaxRelativeToRangeScalarIG.Num.NeuralApproximatorBase
ToleranceRmsIG.Num.NeuralApproximatorBase
ToleranceRmsRelativeToRangeIG.Num.NeuralApproximatorBase
ToleranceRmsRelativeToRangeScalarIG.Num.NeuralApproximatorBase
ToString()IG.Num.NeuralApproximatorBaseinline
TrainingDataIG.Num.NeuralApproximatorBase
TrainingInputsAForgeIG.Neural.NeuralApproximatorAforgeprotected
TrainingOutputsAForgeIG.Neural.NeuralApproximatorAforgeprotected
TrainingOutputsCalculatedIG.Num.NeuralApproximatorBaseprotected
TrainNetwork(int numEpochs)IG.Num.NeuralApproximatorBaseinline
TrainNetwork()IG.Num.NeuralApproximatorBaseinlinevirtual
TrainNetworkMultiple(int numEpochs, int numIterations)IG.Num.NeuralApproximatorBaseinline
TrainNetworkMultiple(int NumIterations)IG.Num.NeuralApproximatorBaseinline
TrainNetworkSpecific(int numEpochs)IG.Neural.NeuralApproximatorAforgeinlineprotectedvirtual
VerificationIndicesIG.Num.NeuralApproximatorBase
VerificationOutputsCalculatedIG.Num.NeuralApproximatorBaseprotected