library: libTMVA
#include "MethodCFMlpANN_Utils.h"

TMVA::MethodCFMlpANN_Utils

class description - header file - source file - inheritance tree (.pdf)

class TMVA::MethodCFMlpANN_Utils

Inheritance Chart:

TMVA::MethodCFMlpANN_Utils

TMVA::MethodCFMlpANN

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.


    protected:

               void Arret(const char* mot)
               void CollectVar(Int_t* nvar, Int_t* class__, Double_t* xpg)
               void Cout(Int_t*, Double_t* xxx)
               void Cout2(Int_t*, Double_t* yyy)
      virtual Int_t DataInterface(Double_t*, Double_t*, Int_t*, Int_t*, Int_t*, Int_t*, Double_t*, Int_t*, Int_t*)
               void En_arriere(Int_t* ievent)
               void En_avant(Int_t* ievent)
               void En_avant2(Int_t* ievent)
               void Entree_new(Int_t*, char*, Int_t* ntrain, Int_t* ntest, Int_t* numlayer, Int_t* nodes, Int_t* numcycle, Int_t)
           Double_t Fdecroi(Int_t* i__)
               void Foncf(Int_t* i__, Double_t* u, Double_t* f)
               void GraphNN(Int_t* ilearn, Double_t*, Double_t*, char*, Int_t)
               void Inl()
               void Innit(char* det, Double_t* tout2, Double_t* tin2, Int_t)
               void Lecev2(Int_t* ktest, Double_t* tout2, Double_t* tin2)
               void Leclearn(Int_t* ktest, Double_t* tout2, Double_t* tin2)
               void Out(Int_t* iii, Int_t* maxcycle)
           Double_t Sen3a()
               void TestNN()
               void Train_nn(Double_t* tin2, Double_t* tout2, Int_t* ntrain, Int_t* ntest, Int_t* nvar2, Int_t* nlayer, Int_t* nodes, Int_t* ncycle)
               void Wini()
       virtual void WriteNNWeightsToFile(Int_t, Int_t, Double_t*, Double_t*, Int_t, Int_t*, Double_t*, Double_t*, Double_t*)

    public:

                          virtual ~MethodCFMlpANN_Utils()
                   static TClass* Class()
                  virtual TClass* IsA() const
      TMVA::MethodCFMlpANN_Utils& operator=(const TMVA::MethodCFMlpANN_Utils&)
                     virtual void ShowMembers(TMemberInspector& insp, char* parent)
                     virtual void Streamer(TBuffer& b)
                             void StreamerNVirtual(TBuffer& b)

Data Members

    private:

                      static Int_t fg_100          constant
                      static Int_t fg_0            constant
                      static Int_t fg_max_nVar_    static maximum number of input variables
                      static Int_t fg_max_nNodes_  maximum number of nodes per variable
                      static Int_t fg_999          constant
      TMVA::MethodCFMlpANN_Utils:: fParam_1        
      TMVA::MethodCFMlpANN_Utils:: fVarn_1         
      TMVA::MethodCFMlpANN_Utils:: fVarn2_1        
      TMVA::MethodCFMlpANN_Utils:: fVarn3_1        
      TMVA::MethodCFMlpANN_Utils:: neur_1          
      TMVA::MethodCFMlpANN_Utils:: fDel_1          
      TMVA::MethodCFMlpANN_Utils:: fCost_1

Class Description

_______________________________________________________________________

 Implementation of Clermond-Ferrand artificial neural network

 Reference for the original FORTRAN version "mlpl3.F":
      Authors  : J. Proriol and contributions from ALEPH-Clermont-Ferrand
                 Team members
      Copyright: Laboratoire Physique Corpusculaire
                 Universite de Blaise Pascal, IN2P3/CNRS
_______________________________________________________________________

~MethodCFMlpANN_Utils()

 destructor

void Train_nn(Double_t *tin2, Double_t *tout2, Int_t *ntrain, Int_t *ntest, Int_t *nvar2, Int_t *nlayer, Int_t *nodes, Int_t *ncycle )

 training interface - called from MethodCFMlpANN class object

void Entree_new(Int_t *, char *, Int_t *ntrain, Int_t *ntest, Int_t *numlayer, Int_t *nodes, Int_t *numcycle, Int_t /*det_len*/)

{
 first initialisation of ANN
Int_t i__1;

Int_t rewrite, i__, j, ncoef;
Int_t ntemp, num, retrain;

 NTRAIN: Nb of events used during the learning

void Wini()

 [smart comments to be added]

void En_avant(Int_t *ievent)

 [smart comments to be added]

void Leclearn(Int_t *ktest, Double_t *tout2, Double_t *tin2)

 [smart comments to be added]

void En_arriere(Int_t *ievent)

 [smart comments to be added]

void Out(Int_t *iii, Int_t *maxcycle)

 write weights to file

void Innit(char *det, Double_t *tout2, Double_t *tin2, Int_t )

 Initialization

void TestNN()

 [smart comments to be added]

void Inl()

 [smart comments to be added]

Double_t Fdecroi(Int_t *i__)

 [smart comments to be added]

Double_t Sen3a( void )

 [smart comments to be added]

void Foncf(Int_t *i__, Double_t *u, Double_t *f)

 [needs to be checked]

void Lecev2(Int_t *ktest, Double_t *tout2, Double_t *tin2)

 [smart comments to be added]

void En_avant2(Int_t *ievent)

 [smart comments to be added]

void Arret(const char* mot )

 fatal error occurred: stop execution

void CollectVar(Int_t *nvar, Int_t *class__, Double_t *xpg)

 [smart comments to be added]

Int_t DataInterface( Double_t*, Double_t*, Int_t*, Int_t*, Int_t*, Int_t*, Double_t*, Int_t*, Int_t* )

void WriteNNWeightsToFile( Int_t, Int_t, Double_t*, Double_t*, Int_t, Int_t*, Double_t*, Double_t*, Double_t* )

void Cout(Int_t *, Double_t *xxx)

void GraphNN(Int_t *ilearn, Double_t *, Double_t *, char *, Int_t)

Double_t operator=( Double_t val )

Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss
Last update: root/tmva $Id: MethodCFMlpANN_Utils.cxx,v 1.3 2006/05/23 19:35:06 brun Exp $
Copyright (c) 2005: *

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