| AttachData() | TMultiLayerPerceptron | protected |
| BFGSDir(TMatrixD &, Double_t *) | TMultiLayerPerceptron | protected |
| BuildFirstLayer(TString &) | TMultiLayerPerceptron | private |
| BuildHiddenLayers(TString &) | TMultiLayerPerceptron | private |
| BuildLastLayer(TString &, Int_t) | TMultiLayerPerceptron | private |
| BuildNetwork() | TMultiLayerPerceptron | protected |
| BuildOneHiddenLayer(const TString &sNumNodes, Int_t &layer, Int_t &prevStart, Int_t &prevStop, Bool_t lastLayer) | TMultiLayerPerceptron | private |
| ComputeDEDw() const | TMultiLayerPerceptron | |
| ConjugateGradientsDir(Double_t *, Double_t) | TMultiLayerPerceptron | protected |
| DerivDir(Double_t *) | TMultiLayerPerceptron | protected |
| Draw(Option_t *option="") | TMultiLayerPerceptron | virtual |
| DrawResult(Int_t index=0, Option_t *option="test") const | TMultiLayerPerceptron | |
| DumpWeights(Option_t *filename="-") const | TMultiLayerPerceptron | |
| EDataSet enum name | TMultiLayerPerceptron | |
| ELearningMethod enum name | TMultiLayerPerceptron | |
| Evaluate(Int_t index, Double_t *params) const | TMultiLayerPerceptron | |
| ExpandStructure() | TMultiLayerPerceptron | private |
| Export(Option_t *filename="NNfunction", Option_t *language="C++") const | TMultiLayerPerceptron | |
| fCurrentTree | TMultiLayerPerceptron | private |
| fCurrentTreeWeight | TMultiLayerPerceptron | private |
| fData | TMultiLayerPerceptron | private |
| fDelta | TMultiLayerPerceptron | private |
| fEpsilon | TMultiLayerPerceptron | private |
| fEta | TMultiLayerPerceptron | private |
| fEtaDecay | TMultiLayerPerceptron | private |
| fEventWeight | TMultiLayerPerceptron | private |
| fextD | TMultiLayerPerceptron | private |
| fextF | TMultiLayerPerceptron | private |
| fFirstLayer | TMultiLayerPerceptron | private |
| fLastAlpha | TMultiLayerPerceptron | private |
| fLastLayer | TMultiLayerPerceptron | private |
| fLearningMethod | TMultiLayerPerceptron | private |
| fManager | TMultiLayerPerceptron | private |
| fNetwork | TMultiLayerPerceptron | private |
| fOutType | TMultiLayerPerceptron | private |
| fReset | TMultiLayerPerceptron | private |
| fStructure | TMultiLayerPerceptron | private |
| fSynapses | TMultiLayerPerceptron | private |
| fTau | TMultiLayerPerceptron | private |
| fTest | TMultiLayerPerceptron | private |
| fTestOwner | TMultiLayerPerceptron | private |
| fTraining | TMultiLayerPerceptron | private |
| fTrainingOwner | TMultiLayerPerceptron | private |
| fType | TMultiLayerPerceptron | private |
| fWeight | TMultiLayerPerceptron | private |
| GetBFGSH(TMatrixD &, TMatrixD &, TMatrixD &) | TMultiLayerPerceptron | protected |
| GetCrossEntropy() const | TMultiLayerPerceptron | protected |
| GetCrossEntropyBinary() const | TMultiLayerPerceptron | protected |
| GetDelta() const | TMultiLayerPerceptron | inline |
| GetEntry(Int_t) const | TMultiLayerPerceptron | protected |
| GetEpsilon() const | TMultiLayerPerceptron | inline |
| GetError(Int_t event) const | TMultiLayerPerceptron | |
| GetError(TMultiLayerPerceptron::EDataSet set) const | TMultiLayerPerceptron | |
| GetEta() const | TMultiLayerPerceptron | inline |
| GetEtaDecay() const | TMultiLayerPerceptron | inline |
| GetLearningMethod() const | TMultiLayerPerceptron | inline |
| GetReset() const | TMultiLayerPerceptron | inline |
| GetStructure() const | TMultiLayerPerceptron | inline |
| GetSumSquareError() const | TMultiLayerPerceptron | protected |
| GetTau() const | TMultiLayerPerceptron | inline |
| GetType() const | TMultiLayerPerceptron | inline |
| kBatch enum value | TMultiLayerPerceptron | |
| kBFGS enum value | TMultiLayerPerceptron | |
| kFletcherReeves enum value | TMultiLayerPerceptron | |
| kRibierePolak enum value | TMultiLayerPerceptron | |
| kSteepestDescent enum value | TMultiLayerPerceptron | |
| kStochastic enum value | TMultiLayerPerceptron | |
| kTest enum value | TMultiLayerPerceptron | |
| kTraining enum value | TMultiLayerPerceptron | |
| LineSearch(Double_t *, Double_t *) | TMultiLayerPerceptron | protected |
| LoadWeights(Option_t *filename="") | TMultiLayerPerceptron | |
| MLP_Batch(Double_t *) | TMultiLayerPerceptron | protected |
| MLP_Line(Double_t *, Double_t *, Double_t) | TMultiLayerPerceptron | private |
| MLP_Stochastic(Double_t *) | TMultiLayerPerceptron | protected |
| operator=(const TMultiLayerPerceptron &) | TMultiLayerPerceptron | private |
| Randomize() const | TMultiLayerPerceptron | |
| Result(Int_t event, Int_t index=0) const | TMultiLayerPerceptron | |
| SetData(TTree *) | TMultiLayerPerceptron | |
| SetDelta(Double_t delta) | TMultiLayerPerceptron | |
| SetEpsilon(Double_t eps) | TMultiLayerPerceptron | |
| SetEta(Double_t eta) | TMultiLayerPerceptron | |
| SetEtaDecay(Double_t ed) | TMultiLayerPerceptron | |
| SetEventWeight(const char *) | TMultiLayerPerceptron | |
| SetGammaDelta(TMatrixD &, TMatrixD &, Double_t *) | TMultiLayerPerceptron | protected |
| SetLearningMethod(TMultiLayerPerceptron::ELearningMethod method) | TMultiLayerPerceptron | |
| SetReset(Int_t reset) | TMultiLayerPerceptron | |
| SetTau(Double_t tau) | TMultiLayerPerceptron | |
| SetTestDataSet(TEventList *test) | TMultiLayerPerceptron | |
| SetTestDataSet(const char *test) | TMultiLayerPerceptron | |
| SetTrainingDataSet(TEventList *train) | TMultiLayerPerceptron | |
| SetTrainingDataSet(const char *train) | TMultiLayerPerceptron | |
| Shuffle(Int_t *, Int_t) const | TMultiLayerPerceptron | private |
| SteepestDir(Double_t *) | TMultiLayerPerceptron | protected |
| TMLPAnalyzer class | TMultiLayerPerceptron | friend |
| TMultiLayerPerceptron() | TMultiLayerPerceptron | |
| TMultiLayerPerceptron(const char *layout, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
| TMultiLayerPerceptron(const char *layout, const char *weight, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
| TMultiLayerPerceptron(const char *layout, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
| TMultiLayerPerceptron(const char *layout, const char *weight, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
| TMultiLayerPerceptron(const TMultiLayerPerceptron &) | TMultiLayerPerceptron | private |
| Train(Int_t nEpoch, Option_t *option="text", Double_t minE=0) | TMultiLayerPerceptron | |
| ~TMultiLayerPerceptron() | TMultiLayerPerceptron | virtual |