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class TMVA::TSynapse: public TObject


 Synapse class used by TMVA artificial neural network methods

Function Members (Methods)

public:
virtual~TSynapse()
voidTObject::AbstractMethod(const char* method) const
voidAdjustWeight()
virtual voidTObject::AppendPad(Option_t* option = "")
virtual voidTObject::Browse(TBrowser* b)
voidCalculateDelta()
static TClass*Class()
virtual const char*TObject::ClassName() const
virtual voidTObject::Clear(Option_t* = "")
virtual TObject*TObject::Clone(const char* newname = "") const
virtual Int_tTObject::Compare(const TObject* obj) const
virtual voidTObject::Copy(TObject& object) const
voidDecayLearningRate(Double_t rate)
virtual voidTObject::Delete(Option_t* option = "")MENU
virtual Int_tTObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual voidTObject::Draw(Option_t* option = "")
virtual voidTObject::DrawClass() constMENU
virtual TObject*TObject::DrawClone(Option_t* option = "") constMENU
virtual voidTObject::Dump() constMENU
virtual voidTObject::Error(const char* method, const char* msgfmt) const
virtual voidTObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual voidTObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual voidTObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
virtual voidTObject::Fatal(const char* method, const char* msgfmt) const
virtual TObject*TObject::FindObject(const char* name) const
virtual TObject*TObject::FindObject(const TObject* obj) const
Double_tGetDEDw()
Double_tGetDelta()
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
virtual const char*TObject::GetIconName() const
Double_tGetLearningRate()
virtual const char*TObject::GetName() const
virtual char*TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_tTObject::GetObjectStat()
virtual Option_t*TObject::GetOption() const
virtual const char*TObject::GetTitle() const
virtual UInt_tTObject::GetUniqueID() const
Double_tGetWeight()
Double_tGetWeightedDelta()
Double_tGetWeightedValue()
virtual Bool_tTObject::HandleTimer(TTimer* timer)
virtual ULong_tTObject::Hash() const
virtual voidTObject::Info(const char* method, const char* msgfmt) const
virtual Bool_tTObject::InheritsFrom(const char* classname) const
virtual Bool_tTObject::InheritsFrom(const TClass* cl) const
voidInitDelta()
virtual voidTObject::Inspect() constMENU
voidTObject::InvertBit(UInt_t f)
virtual TClass*IsA() const
virtual Bool_tTObject::IsEqual(const TObject* obj) const
virtual Bool_tTObject::IsFolder() const
Bool_tTObject::IsOnHeap() const
virtual Bool_tTObject::IsSortable() const
Bool_tTObject::IsZombie() const
virtual voidTObject::ls(Option_t* option = "") const
voidTObject::MayNotUse(const char* method) const
virtual Bool_tTObject::Notify()
voidTObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
static voidTObject::operator delete(void* ptr)
static voidTObject::operator delete(void* ptr, void* vp)
static voidTObject::operator delete[](void* ptr)
static voidTObject::operator delete[](void* ptr, void* vp)
void*TObject::operator new(size_t sz)
void*TObject::operator new(size_t sz, void* vp)
void*TObject::operator new[](size_t sz)
void*TObject::operator new[](size_t sz, void* vp)
TMVA::TSynapse&operator=(const TMVA::TSynapse&)
virtual voidTObject::Paint(Option_t* option = "")
virtual voidTObject::Pop()
virtual voidTObject::Print(Option_t* option = "") const
virtual Int_tTObject::Read(const char* name)
virtual voidTObject::RecursiveRemove(TObject* obj)
voidTObject::ResetBit(UInt_t f)
virtual voidTObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual voidTObject::SavePrimitive(ostream& out, Option_t* option = "")
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
voidSetDEDw(Double_t DEDw)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
voidSetLearningRate(Double_t rate)
static voidTObject::SetObjectStat(Bool_t stat)
voidSetPostNeuron(TMVA::TNeuron* post)
voidSetPreNeuron(TMVA::TNeuron* pre)
virtual voidTObject::SetUniqueID(UInt_t uid)
voidSetWeight(Double_t weight)
virtual voidShowMembers(TMemberInspector& insp)
virtual voidStreamer(TBuffer& b)
voidStreamerNVirtual(TBuffer& b)
virtual voidTObject::SysError(const char* method, const char* msgfmt) const
Bool_tTObject::TestBit(UInt_t f) const
Int_tTObject::TestBits(UInt_t f) const
TMVA::TSynapseTSynapse()
TMVA::TSynapseTSynapse(const TMVA::TSynapse&)
virtual voidTObject::UseCurrentStyle()
virtual voidTObject::Warning(const char* method, const char* msgfmt) const
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
protected:
virtual voidTObject::DoError(int level, const char* location, const char* fmt, va_list va) const
voidTObject::MakeZombie()
private:
TMVA::MsgLogger&Log() const

Data Members

private:
Int_tfCountnumber of updates contributing to error field
Double_tfDEDwsum of deltas
Double_tfDeltalocal error field
Double_tfLearnRatelearning rate parameter
TMVA::TNeuron*fPostNeuronpointer to post-neuron
TMVA::TNeuron*fPreNeuronpointer to pre-neuron
Double_tfWeightweight of the synapse
static TMVA::MsgLogger*fgLogger! message logger, static to save resources

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

TSynapse()
 constructor
~TSynapse()
 destructor
void SetWeight(Double_t weight)
 set synapse weight
Double_t GetWeightedValue()
 get output of pre-neuron weighted by synapse weight
Double_t GetWeightedDelta()
 get error field of post-neuron weighted by synapse weight
void AdjustWeight()
 adjust the weight based on the error field all ready calculated by CalculateDelta
void CalculateDelta()
 calculate/adjust the error field for this synapse
TSynapse()
Double_t GetWeight()
 get the weight of the synapse
{ return fWeight; }
void SetLearningRate(Double_t rate)
 set the learning rate
{ fLearnRate = rate; }
Double_t GetLearningRate()
 get the learning rate
{ return fLearnRate; }
void DecayLearningRate(Double_t rate)
 decay the learning rate
{ fLearnRate *= (1-rate); }
void SetPreNeuron(TMVA::TNeuron* pre)
 set the pre-neuron
{ fPreNeuron = pre; }
void SetPostNeuron(TMVA::TNeuron* post)
 set hte post-neuron
{ fPostNeuron = post; }
void InitDelta()
 initialize the error field of the synpase to 0
{ fDelta = 0.0; fCount = 0; }
void SetDEDw(Double_t DEDw)
{ fDEDw = DEDw; }
Double_t GetDEDw()
{ return fDEDw; }
Double_t GetDelta()
{ return fDelta; }