| _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 |
| _networks | IG.Num.NeuralApproximatorAforgeIT | protected |
| _singleNetworkOutputs | IG.Num.NeuralApproximatorAforgeIT | private |
| _teachers | IG.Num.NeuralApproximatorAforgeIT | protected |
| _trainingInputsAForge | IG.Num.NeuralApproximatorAforgeIT | private |
| _trainingOutputsAForge | IG.Num.NeuralApproximatorAforgeIT | private |
| BreakTraining | IG.Num.NeuralApproximatorBase | |
| CalculateErrorsMax(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inlinestatic |
| CalculateErrorsMeanAbs(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inlinestatic |
| CalculateErrorsRms(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors) | IG.Num.NeuralApproximatorBase | inlinestatic |
| CalculateOutput(IVector input, ref IVector output) | IG.Num.NeuralApproximatorAforgeIT | inline |
| IG::Num::NeuralApproximatorBase.CalculateOutput(IVector input, int whichElement) | IG.Num.NeuralApproximatorBase | inlinevirtual |
| IG::Num::NeuralApproximatorBase.CalculateOutput(IVector input, int[] indices, ref IVector filteredOutput) | IG.Num.NeuralApproximatorBase | inlinevirtual |
| CalculateTrainingOutputs() | IG.Num.NeuralApproximatorBase | inlineprotected |
| CalculateTrainingVerificationOutputs(bool calculateTrainingOutputs, bool calculateVerificationOutputs) | IG.Num.NeuralApproximatorBase | inlineprotected |
| CalculateVerificationErrors | IG.Num.NeuralApproximatorBase | |
| CalculateVerificationOutputs() | IG.Num.NeuralApproximatorBase | inlineprotected |
| ConvergenceErrorsTrainingMaxList | IG.Num.NeuralApproximatorBase | |
| ConvergenceErrorsTrainingRmsList | IG.Num.NeuralApproximatorBase | |
| ConvergenceErrorsVerificationMaxList | IG.Num.NeuralApproximatorBase | |
| ConvergenceErrorsVerificationRmsList | IG.Num.NeuralApproximatorBase | |
| CreateActivationFunction() | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| CreateNetwork() | IG.Num.NeuralApproximatorAforgeIT | inline |
| DestroyNetwork() | IG.Num.NeuralApproximatorAforgeIT | inline |
| EpochCount | IG.Num.NeuralApproximatorBase | |
| EpochNumbers | IG.Num.NeuralApproximatorBase | |
| EpochsInBundle | IG.Num.NeuralApproximatorBase | |
| ExampleQuadratic() | IG.Num.NeuralApproximatorBase | inlinestatic |
| ExampleQuadratic(int inputLength, int outputLength) | IG.Num.NeuralApproximatorBase | inlinestatic |
| ExampleQuadratic(int inputLength, int outputLength, int outputLevel, int maxEpochs) | IG.Num.NeuralApproximatorBase | inlinestatic |
| ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName) | IG.Num.NeuralApproximatorBase | inlinestatic |
| ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName, bool saveRestored) | IG.Num.NeuralApproximatorBase | inlinestatic |
| 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 | inlinevirtual |
| GetSingleNetworkTrainingOutput(int whichNetwork) | IG.Num.NeuralApproximatorAforgeIT | inlineprotected |
| 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 | inlinevirtual |
| InvalidateTrainingDataDependencies() | IG.Num.NeuralApproximatorBase | inlinevirtual |
| InvalidateTrainingDependencies() | IG.Num.NeuralApproximatorBase | inlinevirtual |
| LearningRate | IG.Num.NeuralApproximatorBase | |
| LoadJson(string filePath, ref INeuralApproximator approximatorRestored) | IG.Num.NeuralApproximatorBase | inlinestatic |
| LoadNetwork(string filePath) | IG.Num.NeuralApproximatorBase | inline |
| LoadNetworkSpecific(string fileOrDirectoryPath) | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| 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 | inlineprotectedvirtual |
| MapFromNeuralInput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapFromNeuralOutput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapFromNeuralOutput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapInput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapInput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapOutput(int componentIndex, double value) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| MapOutput(IVector values, ref IVector mappedValues) | IG.Num.NeuralApproximatorBase | inlineprotectedvirtual |
| 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 | |
| NeuralApproximatorAforgeIT() | IG.Num.NeuralApproximatorAforgeIT | inline |
| 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 | inlineprotectedvirtual |
| PrepareInternalTrainingData() | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| PrepareNetwork() | IG.Num.NeuralApproximatorAforgeIT | inline |
| PrepareNetworksArray() | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| 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.NeuralApproximatorAforgeIT | inline |
| SaveConvergenceRms | IG.Num.NeuralApproximatorBase | |
| SaveJson(INeuralApproximator approximator, string filePath) | IG.Num.NeuralApproximatorBase | inlinestatic |
| SaveJson(INeuralApproximator approximator, string filePath, bool saveInternalState) | IG.Num.NeuralApproximatorBase | inlinestatic |
| SaveNetwork(string filePath) | IG.Num.NeuralApproximatorBase | inline |
| SaveNetworkSpecific(string fileOrDirectoryPath) | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| SaveTrainingDataJson(string filePath) | IG.Num.NeuralApproximatorBase | inline |
| SaveTrainingDataJson_To_delete(string filePath) | IG.Num.NeuralApproximatorBase | inline |
| SetHiddenLayers(params int[] numNeurons) | IG.Num.NeuralApproximatorBase | inlinevirtual |
| SetMaxToleranceRelstiveToRange() | IG.Num.NeuralApproximatorBase | inlineprotected |
| 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 | inlinevirtual |
| SetRmsToleranceRelstiveToRange() | IG.Num.NeuralApproximatorBase | inlineprotected |
| SetTrainingAndVerificationData(SampledDataSet trainingData, SampledDataSet verificationData) | IG.Num.NeuralApproximatorBase | inline |
| SigmoidAlphaValue | IG.Num.NeuralApproximatorBase | |
| StopTrainingCriteriaMet() | IG.Num.NeuralApproximatorBase | inlinevirtual |
| 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 | |
| TrainingInputsAForge | IG.Num.NeuralApproximatorAforgeIT | protected |
| TrainingOutputsAForge | IG.Num.NeuralApproximatorAforgeIT | protected |
| TrainingOutputsCalculated | IG.Num.NeuralApproximatorBase | protected |
| TrainNetwork(int numEpochs) | IG.Num.NeuralApproximatorBase | inline |
| TrainNetwork() | IG.Num.NeuralApproximatorBase | inlinevirtual |
| TrainNetworkMultiple(int numEpochs, int numIterations) | IG.Num.NeuralApproximatorBase | inline |
| TrainNetworkMultiple(int numIterations) | IG.Num.NeuralApproximatorBase | inline |
| TrainNetworkSpecific(int numEpochs) | IG.Num.NeuralApproximatorAforgeIT | inlineprotectedvirtual |
| VerificationIndices | IG.Num.NeuralApproximatorBase | |
| VerificationOutputsCalculated | IG.Num.NeuralApproximatorBase | protected |