Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123456]
▼CBaseException | |
CClusterFromOrToMissing | Thrown when a user attempt to create a Linker without specify the "from" or "to" |
CClusterStateVectorNotPresent | Thrown when a user attempt to get a delegate for a state vector that does not exists |
CIncompatibleMatrices | Thrown when a user attempt to do calculations with incompatible DoubleMatrix |
CIncompatibleVectors | Thrown when a user attempt to do calculations with incompatible DoubleVectors |
CMatrixAssignmentNotAllowed | Thrown when a user attempt to call the operator= on a DoubleMatrix with isinternal flag on |
CMatrixResizeNotAllowed | Thrown when a user attempt to resize a DoubleMatrix with isinternal flag on |
COutputFunctionSetClusterException | Thrown when a user attempt to call setCluster on an OutputFunction already inserted into a Cluster |
COutsideMatrixBoundaries | Thrown when a user attempt to access outside boundary of a DoubleMatrix |
COutsideVectorBoundaries | Thrown when a user attempt to access outside boundary of a DoubleVector |
CVectorAssignmentNotAllowed | Thrown when a user attempt to call the operator= on a DoubleVector with isinternal flag on |
CVectorResizeNotAllowed | Thrown when a user attempt to resize a DoubleVector with isinternal flag on |
CNeuralNetObserver | An observer interface called during NeuralNet operations |
▼CParameterSettable [external] | |
▼CParameterSettableInConstructor [external] | |
▼CUpdatable | Updatables objects |
▼CCluster | Define the common interface among Clusters |
CBiasedCluster | In a BiasedCluster each neuron has an input, an output and a bias value |
CSimpleCluster | SimpleCluster Class |
▼CLinker | Abstract Linker Class |
CCopyLinker | CopyLinker Class |
▼CMatrixLinker | MatrixLinker Class define a full connection between two cluster |
CDotLinker | DotLinker Class |
CNormLinker | NormLinker Class |
▼CParameterSettableWithConfigureFunction [external] | |
▼CLearningAlgorithm | LearningAlgorithm object |
CBackPropagationAlgo | Back-Propagation Algorithm implementation |
CNeuralNet | The Neural Network Class |
▼COutputFunction | OutputFunction Class |
CCompositeFunction | Composite Function !! |
CFakeSigmoidFunction | Fake Sigmoid Function !! Is a linear approximation of sigmoid function |
CGainFunction | GainFunction |
CGaussFunction | GaussFunction |
CIdentityFunction | IdentityFunction |
CLeakyIntegratorFunction | LeakyIntegrator Function !! |
CLinearComboFunction | Linear Combination of Two Function !! |
CLinearFunction | Linear equation Function Implements a linear equation y = m*x + b |
CLogLikeFunction | LogLike Function !! |
▼CPeriodicFunction | PeriodicFunction |
CPseudoGaussFunction | PseudoGaussFunction |
CSawtoothFunction | SawtoothFunction |
CSinFunction | SinFunction |
CTriangleFunction | TriangleFunction |
CRampFunction | Ramp Function |
CScaledSigmoidFunction | ScaledSigmoid Function |
CScaleFunction | ScaleFunction |
CSigmoidFunction | Sigmoid Function |
CStepFunction | Step Function |
CWinnerTakeAllFunction | WinnerTakeAllFunction |
CPattern | Pattern object |
CPattern::PatternInfo |