Documentation / Developer's manual
Available modules
Calibration,  DataServer,  Launcher,  MetaModelOptim,  Modeler,  Optimizer,  ReLauncher,  Reliability,  ReOptimizer,  Sampler,  Sensitivity,  UncertModeler,  XmlProblem,  ![]() |
Uranie / Sampler
v4.10.0
|
TNeuralGas.h
Go to the documentation of this file.
Definition: TAMHCopula.h:59
Double_t _dinitalpha
The initial value of .
Definition: TNeuralGas.h:105
Double_t _dlambda
The current value of .
Definition: TNeuralGas.h:103
TNeuralGas(URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t ns)
Constructor with a dataserver.
Definition: TNeuralGas.cxx:56
Implement the Neural Gas algorithm (Martinetz and Schulten, 1991)
Definition: TNeuralGas.h:91
void learn(Int_t index)
The learning step for the index pattern.
Definition: TNeuralGas.cxx:165
Double_t _dinitlambda
The initial value of .
Definition: TNeuralGas.h:102
Define the abstract class for Vectorial Quantification (VQ) algorithms.
void setAlpha(Double_t dinitalpha, Double_t dfinalalpha)
Set the alpha parameters.
Definition: TNeuralGas.h:150
void setTMax(Int_t dtmax)
Set the parameter.
Definition: TNeuralGas.h:158
Double_t _dfinalalpha
The final value of .
Definition: TNeuralGas.h:107
Double_t _dfinalambda
The final value of .
Definition: TNeuralGas.h:104
virtual ~TNeuralGas()
Default destructor.
Definition: TNeuralGas.cxx:87
Double_t _dalpha
The current value of .
Definition: TNeuralGas.h:106
void setLambda(Double_t dinitlambda, Double_t dfinallambda)
Set the lambda parameters.
Definition: TNeuralGas.h:138
Abstract class for Vectorial Quantification (VQ) algorithms.
Definition: TVQ.h:60
void generateSample(Option_t *option="")
Generates the sample.
Definition: TNeuralGas.cxx:285
virtual void printLog(Option_t *option="")
Prints the log.
Definition: TNeuralGas.cxx:415
TMatrixD _datamatrix
The matrix of data.
Definition: TNeuralGas.h:95