class TMVA::TNeuron: public TObject


 Neuron class used by TMVA artificial neural network methods

Function Members (Methods)

public:
virtual~TNeuron()
voidTObject::AbstractMethod(const char* method) const
voidAddPostLink(TMVA::TSynapse* post)
voidAddPreLink(TMVA::TSynapse* pre)
voidAdjustSynapseWeights()
virtual voidTObject::AppendPad(Option_t* option = "")
virtual voidTObject::Browse(TBrowser* b)
voidCalculateActivationValue()
voidCalculateDelta()
voidCalculateValue()
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
virtual voidTObject::Delete(Option_t* option = "")MENU
voidDeletePreLinks()
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
voidForceValue(Double_t value)
Double_tGetActivationValue() const
Double_tGetDelta() const
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
virtual const char*TObject::GetIconName() const
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_tGetValue() const
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
voidInitSynapseDeltas()
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_tIsInputNeuron() const
Bool_tTObject::IsOnHeap() const
Bool_tIsOutputNeuron() 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()
Int_tNumPostLinks() const
Int_tNumPreLinks() 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)
TObject&TObject::operator=(const TObject& rhs)
virtual voidTObject::Paint(Option_t* option = "")
virtual voidTObject::Pop()
TMVA::TSynapse*PostLinkAt(Int_t index) const
TMVA::TSynapse*PreLinkAt(Int_t index) const
virtual voidTObject::Print(Option_t* option = "") const
voidPrintActivationEqn()
voidPrintPostLinks()
voidPrintPreLinks()
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(basic_ostream<char,char_traits<char> >& out, Option_t* option = "")
voidSetActivationEqn(TMVA::TActivation* activation)
voidSetBiasNeuron()
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
voidSetError(Double_t error)
voidSetInputCalculator(TMVA::TNeuronInput* calculator)
voidSetInputNeuron()
static voidTObject::SetObjectStat(Bool_t stat)
voidSetOutputNeuron()
virtual voidTObject::SetUniqueID(UInt_t uid)
virtual voidShowMembers(TMemberInspector& insp, char* parent)
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::TNeuronTNeuron()
voidUpdateSynapsesBatch()
voidUpdateSynapsesSequential()
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:
voidDeleteLinksArray(TObjArray*& links)
voidInitNeuron()
voidNullifyLinks(TObjArray*& links)
Int_tNumLinks(TObjArray* links) const
voidPrintLinks(TObjArray* links)
voidPrintMessage(TMVA::EMsgType, TString message)

Data Members

public:
enum TObject::EStatusBits { kCanDelete
kMustCleanup
kObjInCanvas
kIsReferenced
kHasUUID
kCannotPick
kNoContextMenu
kInvalidObject
};
enum TObject::[unnamed] { kIsOnHeap
kNotDeleted
kZombie
kBitMask
kSingleKey
kOverwrite
kWriteDelete
};
private:
TMVA::TActivation*fActivationactivation equation
Double_tfActivationValueactivation/output value
Double_tfDeltaerror field of neuron
Double_tfErrorerror, only set for output neurons
Bool_tfForcedValueflag for forced input value
TMVA::TNeuronInput*fInputCalculatorinput calculator
TObjArray*fLinksInarray of input synapses
TObjArray*fLinksOutarray of output synapses
TMVA::MsgLoggerfLoggermessage logger
Double_tfValueinput value

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

TNeuron()
 standard constructor
~TNeuron()
 destructor
void InitNeuron()
 initialize the neuron, most variables still need to be set via setters
void ForceValue(Double_t value)
 force the value, typically for input and bias neurons
void CalculateValue()
 calculate neuron input
void CalculateActivationValue()
 calculate neuron activation/output
void CalculateDelta()
 calculate error field
void SetInputCalculator(TMVA::TNeuronInput* calculator)
 set input calculator
void SetActivationEqn(TMVA::TActivation* activation)
 set activation equation
void AddPreLink(TMVA::TSynapse* pre)
 add synapse as a pre-link to this neuron
void AddPostLink(TMVA::TSynapse* post)
 add synapse as a post-link to this neuron
void DeletePreLinks()
 delete all pre-links
void DeleteLinksArray(TObjArray*& links)
 delete an array of TSynapses
void SetError(Double_t error)
 set error, this should only be done for an output neuron
void UpdateSynapsesBatch()
 update and adjust the pre-synapses for each neuron (input neuron has no pre-synapse)
 this method should only be called in batch mode
void UpdateSynapsesSequential()
 update the pre-synapses for each neuron (input neuron has no pre-synapse)
 this method should only be called in sequential mode
void AdjustSynapseWeights()
 adjust the pre-synapses' weights for each neuron (input neuron has no pre-synapse)
 this method should only be called in batch mode
void InitSynapseDeltas()
 initialize the error fields of all pre-neurons
 this method should only be called in batch mode
void PrintLinks(TObjArray* links)
 print an array of TSynapses, for debugging
void PrintActivationEqn()
 print activation equation, for debugging
void PrintMessage(TMVA::EMsgType , TString message)
 print message, for debugging
Double_t GetValue()
 inlined functions
{ return fValue; }
Double_t GetActivationValue()
{ return fActivationValue; }
Double_t GetDelta()
{ return fDelta; }
Int_t NumPreLinks()
{ return NumLinks(fLinksIn); }
Int_t NumPostLinks()
{ return NumLinks(fLinksOut); }
TSynapse* PreLinkAt(Int_t index) const
{ return (TSynapse*)fLinksIn->At(index); }
TSynapse* PostLinkAt(Int_t index) const
{ return (TSynapse*)fLinksOut->At(index); }
void SetInputNeuron()
{ NullifyLinks(fLinksIn); }
void SetOutputNeuron()
{ NullifyLinks(fLinksOut); }
void SetBiasNeuron()
{ NullifyLinks(fLinksIn); }
Bool_t IsInputNeuron()
{ return fLinksIn == NULL; }
Bool_t IsOutputNeuron()
{ return fLinksOut == NULL; }
void PrintPreLinks()
{ PrintLinks(fLinksIn); return; }
void PrintPostLinks()
{ PrintLinks(fLinksOut); return; }
Int_t NumLinks(TObjArray* links) const
 inlined helper functions
void NullifyLinks(TObjArray*& links)

Author: Matt Jachowski
Last change: root/tmva $Id: TNeuron.h 20882 2007-11-19 11:31:26Z rdm $
Last generated: 2008-06-25 08:48
Copyright (c) 2005: *
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