NeurApp 1.1
NeurApp - software for exploring approximation by artificial neural networks on functions of one or two variables.

IG::Neural::NeuralApproximatorNeuron Member List

This is the complete list of members for IG::Neural::NeuralApproximatorNeuron, including all inherited members.
_auxErrorsIG::Neural::NeuralApproximatorBase [protected]
_calculatedOutputsIG::Neural::NeuralApproximatorBase [protected]
_calculateVerificationErrorsIG::Neural::NeuralApproximatorBase [protected]
_connectorIG::Neural::NeuralApproximatorNeuron [protected]
_defaultNetworkFilenameIG::Neural::NeuralApproximatorBase [protected]
_defaultNeuronMaxInputIG::Neural::NeuralApproximatorBase [protected]
_defaultNeuronMaxOutputIG::Neural::NeuralApproximatorBase [protected]
_defaultNeuronMinInputIG::Neural::NeuralApproximatorBase [protected]
_defaultNeuronMinOutputIG::Neural::NeuralApproximatorBase [protected]
_hiddenValIG::Neural::NeuralApproximatorNeuron [protected]
_inputValIG::Neural::NeuralApproximatorNeuron [protected]
_networksIG::Neural::NeuralApproximatorNeuron [protected]
_outputValIG::Neural::NeuralApproximatorNeuron [protected]
_trainingSetIG::Neural::NeuralApproximatorNeuron [private]
_trainingSetSingleOutputIG::Neural::NeuralApproximatorNeuron [private]
BreakTrainingIG::Neural::NeuralApproximatorBase
CalculateErrorsMax(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG::Neural::NeuralApproximatorBase [inline, static]
CalculateErrorsMeanAbs(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG::Neural::NeuralApproximatorBase [inline, static]
CalculateErrorsRms(int dimOutput, IVector[] prescribed, IVector[] calculated, ref IVector errors)IG::Neural::NeuralApproximatorBase [inline, static]
CalculateOutput(IVector input, ref IVector output)IG::Neural::NeuralApproximatorNeuron [inline]
IG::Neural::NeuralApproximatorBase::CalculateOutput(IVector input, int whichElement)IG::Neural::NeuralApproximatorBase [inline, virtual]
IG::Neural::NeuralApproximatorBase::CalculateOutput(IVector input, int[] indices, ref IVector filteredOutput)IG::Neural::NeuralApproximatorBase [inline, virtual]
CalculateTrainingOutputs()IG::Neural::NeuralApproximatorBase [inline, protected]
CalculateTrainingVerificationOutputs(bool calculateTrainingOutputs, bool calculateVerificationOutputs)IG::Neural::NeuralApproximatorBase [inline, protected]
CalculateVerificationErrorsIG::Neural::NeuralApproximatorBase
CalculateVerificationOutputs()IG::Neural::NeuralApproximatorBase [inline, protected]
ConvergenceErrorsTrainingMaxListIG::Neural::NeuralApproximatorBase
ConvergenceErrorsTrainingRmsListIG::Neural::NeuralApproximatorBase
ConvergenceErrorsVerificationMaxListIG::Neural::NeuralApproximatorBase
ConvergenceErrorsVerificationRmsListIG::Neural::NeuralApproximatorBase
CreateNetwork()IG::Neural::NeuralApproximatorNeuron [inline]
DestroyNetwork()IG::Neural::NeuralApproximatorNeuron [inline]
EpochCountIG::Neural::NeuralApproximatorBase
EpochNumbersIG::Neural::NeuralApproximatorBase
EpochsInBundleIG::Neural::NeuralApproximatorBase
ExampleQuadratic()IG::Neural::NeuralApproximatorBase [inline, static]
ExampleQuadratic(int inputLength, int outputLength)IG::Neural::NeuralApproximatorBase [inline, static]
ExampleQuadratic(int inputLength, int outputLength, int outputLevel, int maxEpochs)IG::Neural::NeuralApproximatorBase [inline, static]
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName)IG::Neural::NeuralApproximatorBase [inline, static]
ExampleSaveNetwork(string directoryPath, string fileName, string internalStateFileName, bool saveRestored)IG::Neural::NeuralApproximatorBase [inline, static]
GetErrorsTrainingMax(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetErrorsTrainingMeanAbs(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetErrorsTrainingRms(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetErrorsVerificationMax(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetErrorsVerificationMeanAbs(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetErrorsVerificationRms(ref IVector errors)IG::Neural::NeuralApproximatorBase [inline]
GetNetworkFilePath(string fileOrDirectoryPath, int whichNetwork)IG::Neural::NeuralApproximatorBase [inline]
GetNumNeuronsInHiddenLayer(int whichLayer)IG::Neural::NeuralApproximatorBase [inline, virtual]
GetTrainingAndVerificationData(ref SampledDataSet trainingData, ref SampledDataSet verificationData)IG::Neural::NeuralApproximatorBase [inline]
GetTrainingData(ref SampledDataSet trainingData)IG::Neural::NeuralApproximatorBase [inline]
GetVerificationData(ref SampledDataSet veerificationData)IG::Neural::NeuralApproximatorBase [inline]
InputBoundsSafetyFactorIG::Neural::NeuralApproximatorBase
InputDataBoundsIG::Neural::NeuralApproximatorBase
InputLengthIG::Neural::NeuralApproximatorBase
InputNeuronsRangeIG::Neural::NeuralApproximatorBase
InternalTrainingDataPreparedIG::Neural::NeuralApproximatorBase [protected]
InvalidateNetworkDependencies()IG::Neural::NeuralApproximatorBase [inline, virtual]
InvalidateTrainingDataDependencies()IG::Neural::NeuralApproximatorBase [inline, virtual]
InvalidateTrainingDependencies()IG::Neural::NeuralApproximatorBase [inline, virtual]
LearningRateIG::Neural::NeuralApproximatorBase
LoadJson(string filePath, ref INeuralApproximator approximatorRestored)IG::Neural::NeuralApproximatorBase [inline, static]
LoadNetwork(string filePath)IG::Neural::NeuralApproximatorBase [inline]
LoadNetworkSpecific(string fileOrDirectoryPath)IG::Neural::NeuralApproximatorNeuron [inline, protected, virtual]
LoadTrainingDataJson(string filePath)IG::Neural::NeuralApproximatorBase [inline]
LoadTrainingDataJson_To_Delete(string filePath)IG::Neural::NeuralApproximatorBase [inline]
LockIG::Neural::NeuralApproximatorBase
MapFromNeuralInput(int componentIndex, double value)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapFromNeuralInput(IVector values, ref IVector mappedValues)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapFromNeuralOutput(int componentIndex, double value)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapFromNeuralOutput(IVector values, ref IVector mappedValues)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapInput(int componentIndex, double value)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapInput(IVector values, ref IVector mappedValues)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapOutput(int componentIndex, double value)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MapOutput(IVector values, ref IVector mappedValues)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
MaxEpochsIG::Neural::NeuralApproximatorBase
MomentumIG::Neural::NeuralApproximatorBase
MultipleNetworksIG::Neural::NeuralApproximatorBase
NetworkPreparedIG::Neural::NeuralApproximatorBase
NetworkStateFilePathIG::Neural::NeuralApproximatorBase
NetworkStateRelativePathIG::Neural::NeuralApproximatorBase
NetworkTrainedIG::Neural::NeuralApproximatorBase
NeuralApproximatorBase()IG::Neural::NeuralApproximatorBase [inline]
NeuralApproximatorNeuron()IG::Neural::NeuralApproximatorNeuron [inline]
NeuralApproximatorTypeIG::Neural::NeuralApproximatorBase
NumAllTrainingPointsIG::Neural::NeuralApproximatorBase
NumHiddenLayersIG::Neural::NeuralApproximatorBase
NumHiddenNeuronsIG::Neural::NeuralApproximatorBase
NumTrainingPointsIG::Neural::NeuralApproximatorBase
NumVerificationPointsIG::Neural::NeuralApproximatorBase
OutputBoundsSafetyFactorIG::Neural::NeuralApproximatorBase
OutputDataBoundsIG::Neural::NeuralApproximatorBase
OutputLengthIG::Neural::NeuralApproximatorBase
OutputLevelIG::Neural::NeuralApproximatorBase
OutputNeuronsRangeIG::Neural::NeuralApproximatorBase
PrepareErrorData(ref int dimOutput, ref IVector[] prescribed, ref IVector[] calculated, bool takeTrainingPoints, bool takeVerificationPoints)IG::Neural::NeuralApproximatorBase [inline, protected, virtual]
PrepareInternalTrainingData()IG::Neural::NeuralApproximatorNeuron [inline, protected, virtual]
PrepareNetwork()IG::Neural::NeuralApproximatorNeuron [inline]
PrepareNetworksArray()IG::Neural::NeuralApproximatorNeuron [inline, protected, virtual]
RecalculateDataBounds()IG::Neural::NeuralApproximatorBase [inline]
RecalculateDataBounds(SampledDataSet trainingData)IG::Neural::NeuralApproximatorBase [inline]
RecalculateInputDataBounds()IG::Neural::NeuralApproximatorBase [inline]
RecalculateInputDataBounds(SampledDataSet trainingData)IG::Neural::NeuralApproximatorBase [inline]
RecalculateOutputDataBounds()IG::Neural::NeuralApproximatorBase [inline]
RecalculateOutputDataBounds(SampledDataSet trainingData)IG::Neural::NeuralApproximatorBase [inline]
ResetNetwork()IG::Neural::NeuralApproximatorNeuron [inline]
SaveConvergenceRmsIG::Neural::NeuralApproximatorBase
SaveJson(INeuralApproximator approximator, string filePath)IG::Neural::NeuralApproximatorBase [inline, static]
SaveJson(INeuralApproximator approximator, string filePath, bool saveInternalState)IG::Neural::NeuralApproximatorBase [inline, static]
SaveNetwork(string filePath)IG::Neural::NeuralApproximatorBase [inline]
SaveNetworkSpecific(string fileOrDirectoryPath)IG::Neural::NeuralApproximatorNeuron [inline, protected, virtual]
SaveTrainingDataJson(string filePath)IG::Neural::NeuralApproximatorBase [inline]
SaveTrainingDataJson_To_delete(string filePath)IG::Neural::NeuralApproximatorBase [inline]
SetHiddenLayers(params int[] numNeurons)IG::Neural::NeuralApproximatorBase [inline, virtual]
SetMaxToleranceRelstiveToRange()IG::Neural::NeuralApproximatorBase [inline, protected]
SetNeuronsInputRange(double min, double max)IG::Neural::NeuralApproximatorBase [inline]
SetNeuronsOutputRange(double min, double max)IG::Neural::NeuralApproximatorBase [inline]
SetNumNeuronsInHiddenLayer(int whichLayer, int numNeurons)IG::Neural::NeuralApproximatorBase [inline, virtual]
SetRmsToleranceRelstiveToRange()IG::Neural::NeuralApproximatorBase [inline, protected]
SetTrainingAndVerificationData(SampledDataSet trainingData, SampledDataSet verificationData)IG::Neural::NeuralApproximatorBase [inline]
SigmoidAlphaValueIG::Neural::NeuralApproximatorBase
StopTrainingCriteriaMet()IG::Neural::NeuralApproximatorBase [inline, virtual]
TestMapping()IG::Neural::NeuralApproximatorBase [inline]
TestTypeCreation()IG::Neural::NeuralApproximatorBase [inline, static]
ToleranceMaxIG::Neural::NeuralApproximatorBase
ToleranceMaxRelativeToRangeIG::Neural::NeuralApproximatorBase
ToleranceMaxRelativeToRangeScalarIG::Neural::NeuralApproximatorBase
ToleranceRmsIG::Neural::NeuralApproximatorBase
ToleranceRmsRelativeToRangeIG::Neural::NeuralApproximatorBase
ToleranceRmsRelativeToRangeScalarIG::Neural::NeuralApproximatorBase
ToString()IG::Neural::NeuralApproximatorBase [inline]
TrainingDataIG::Neural::NeuralApproximatorBase
TrainingOutputsCalculatedIG::Neural::NeuralApproximatorBase [protected]
TrainingSetInOutIG::Neural::NeuralApproximatorNeuron [protected]
TrainingSetSingleOutputIG::Neural::NeuralApproximatorNeuron [protected]
TrainNetwork(int numEpochs)IG::Neural::NeuralApproximatorBase [inline]
TrainNetwork()IG::Neural::NeuralApproximatorBase [inline, virtual]
TrainNetworkMultiple(int numEpochs, int numIterations)IG::Neural::NeuralApproximatorBase [inline]
TrainNetworkMultiple(int NumIterations)IG::Neural::NeuralApproximatorBase [inline]
TrainNetworkSpecific(int numEpochs)IG::Neural::NeuralApproximatorNeuron [inline, protected, virtual]
VerificationIndicesIG::Neural::NeuralApproximatorBase
VerificationOutputsCalculatedIG::Neural::NeuralApproximatorBase [protected]
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