class TMVA::TNeuron: public TObject
TNeuron This class decribes an elementary neuron, which is the basic element for a Neural Network. A network is built connecting neurons by synapses. There are different types of neurons: linear (a+bx), sigmoid (1/(1+exp(-x)), tanh or gaussian. An external function can also be used, together with its derivative. In a Multi Layer Perceptron, the input layer is made of inactive neurons (returning the normalized input) and output neurons are linear. Hidden neurons may be anything, the default being sigmoids. This implementation contains several methods to compute the value, the derivative, the DeDw, ... Values are stored in local buffers. The SetNewEvent() method is there to inform buffered values are outdated.
Function Members (Methods)
public:
| virtual | ~TNeuron() |
| void | TObject::AbstractMethod(const char* method) const |
| void | AddPostLink(TMVA::TSynapse* post) |
| void | AddPreLink(TMVA::TSynapse* pre) |
| void | AdjustSynapseWeights() |
| virtual void | TObject::AppendPad(Option_t* option = "") |
| virtual void | TObject::Browse(TBrowser* b) |
| void | CalculateActivationValue() |
| void | CalculateDelta() |
| void | CalculateValue() |
| static TClass* | Class() |
| virtual const char* | TObject::ClassName() const |
| virtual void | TObject::Clear(Option_t* = "") |
| virtual TObject* | TObject::Clone(const char* newname = "") const |
| virtual Int_t | TObject::Compare(const TObject* obj) const |
| virtual void | TObject::Copy(TObject& object) const |
| virtual void | TObject::Delete(Option_t* option = "")MENU |
| void | DeletePreLinks() |
| virtual Int_t | TObject::DistancetoPrimitive(Int_t px, Int_t py) |
| virtual void | TObject::Draw(Option_t* option = "") |
| virtual void | TObject::DrawClass() constMENU |
| virtual TObject* | TObject::DrawClone(Option_t* option = "") constMENU |
| virtual void | TObject::Dump() constMENU |
| virtual void | TObject::Error(const char* method, const char* msgfmt) const |
| virtual void | TObject::Execute(const char* method, const char* params, Int_t* error = 0) |
| virtual void | TObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0) |
| virtual void | TObject::ExecuteEvent(Int_t event, Int_t px, Int_t py) |
| virtual void | TObject::Fatal(const char* method, const char* msgfmt) const |
| virtual TObject* | TObject::FindObject(const char* name) const |
| virtual TObject* | TObject::FindObject(const TObject* obj) const |
| void | ForceValue(Double_t value) |
| Double_t | GetActivationValue() const |
| Double_t | GetDEDw() const |
| Double_t | GetDelta() const |
| virtual Option_t* | TObject::GetDrawOption() const |
| static Long_t | TObject::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_t | TObject::GetObjectStat() |
| virtual Option_t* | TObject::GetOption() const |
| virtual const char* | TObject::GetTitle() const |
| virtual UInt_t | TObject::GetUniqueID() const |
| Double_t | GetValue() const |
| virtual Bool_t | TObject::HandleTimer(TTimer* timer) |
| virtual ULong_t | TObject::Hash() const |
| virtual void | TObject::Info(const char* method, const char* msgfmt) const |
| virtual Bool_t | TObject::InheritsFrom(const char* classname) const |
| virtual Bool_t | TObject::InheritsFrom(const TClass* cl) const |
| void | InitSynapseDeltas() |
| virtual void | TObject::Inspect() constMENU |
| void | TObject::InvertBit(UInt_t f) |
| virtual TClass* | IsA() const |
| virtual Bool_t | TObject::IsEqual(const TObject* obj) const |
| virtual Bool_t | TObject::IsFolder() const |
| Bool_t | IsInputNeuron() const |
| Bool_t | TObject::IsOnHeap() const |
| Bool_t | IsOutputNeuron() const |
| virtual Bool_t | TObject::IsSortable() const |
| Bool_t | TObject::IsZombie() const |
| virtual void | TObject::ls(Option_t* option = "") const |
| void | TObject::MayNotUse(const char* method) const |
| virtual Bool_t | TObject::Notify() |
| Int_t | NumPostLinks() const |
| Int_t | NumPreLinks() const |
| void | TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const |
| void | TObject::operator delete(void* ptr) |
| void | TObject::operator delete(void* ptr, void* vp) |
| void | TObject::operator delete[](void* ptr) |
| void | TObject::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::TNeuron& | operator=(const TMVA::TNeuron&) |
| virtual void | TObject::Paint(Option_t* option = "") |
| virtual void | TObject::Pop() |
| TMVA::TSynapse* | PostLinkAt(Int_t index) const |
| TMVA::TSynapse* | PreLinkAt(Int_t index) const |
| virtual void | Print(Option_t* = "") const |
| void | PrintActivationEqn() |
| void | PrintPostLinks() const |
| void | PrintPreLinks() const |
| virtual Int_t | TObject::Read(const char* name) |
| virtual void | TObject::RecursiveRemove(TObject* obj) |
| void | TObject::ResetBit(UInt_t f) |
| virtual void | TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU |
| virtual void | TObject::SavePrimitive(ostream& out, Option_t* option = "") |
| void | SetActivationEqn(TMVA::TActivation* activation) |
| void | SetBiasNeuron() |
| void | TObject::SetBit(UInt_t f) |
| void | TObject::SetBit(UInt_t f, Bool_t set) |
| void | SetDEDw(Double_t DEDw) |
| virtual void | TObject::SetDrawOption(Option_t* option = "")MENU |
| static void | TObject::SetDtorOnly(void* obj) |
| void | SetError(Double_t error) |
| void | SetInputCalculator(TMVA::TNeuronInput* calculator) |
| void | SetInputNeuron() |
| static void | TObject::SetObjectStat(Bool_t stat) |
| void | SetOutputNeuron() |
| virtual void | TObject::SetUniqueID(UInt_t uid) |
| virtual void | ShowMembers(TMemberInspector& insp) const |
| virtual void | Streamer(TBuffer&) |
| void | StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b) |
| virtual void | TObject::SysError(const char* method, const char* msgfmt) const |
| Bool_t | TObject::TestBit(UInt_t f) const |
| Int_t | TObject::TestBits(UInt_t f) const |
| TMVA::TNeuron | TNeuron() |
| TMVA::TNeuron | TNeuron(const TMVA::TNeuron&) |
| void | UpdateSynapsesBatch() |
| void | UpdateSynapsesSequential() |
| virtual void | TObject::UseCurrentStyle() |
| virtual void | TObject::Warning(const char* method, const char* msgfmt) const |
| virtual Int_t | TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) |
| virtual Int_t | TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const |
protected:
| virtual void | TObject::DoError(int level, const char* location, const char* fmt, va_list va) const |
| void | TObject::MakeZombie() |
private:
| void | DeleteLinksArray(TObjArray*& links) |
| void | InitNeuron() |
| TMVA::MsgLogger& | Log() const |
| void | NullifyLinks(TObjArray*& links) |
| Int_t | NumLinks(TObjArray* links) const |
| void | PrintLinks(TObjArray* links) const |
| void | PrintMessage(TMVA::EMsgType, TString message) |
Data Members
public:
| static TObject::(anonymous) | TObject::kBitMask | |
| static TObject::EStatusBits | TObject::kCanDelete | |
| static TObject::EStatusBits | TObject::kCannotPick | |
| static TObject::EStatusBits | TObject::kHasUUID | |
| static TObject::EStatusBits | TObject::kInvalidObject | |
| static TObject::(anonymous) | TObject::kIsOnHeap | |
| static TObject::EStatusBits | TObject::kIsReferenced | |
| static TObject::EStatusBits | TObject::kMustCleanup | |
| static TObject::EStatusBits | TObject::kNoContextMenu | |
| static TObject::(anonymous) | TObject::kNotDeleted | |
| static TObject::EStatusBits | TObject::kObjInCanvas | |
| static TObject::(anonymous) | TObject::kOverwrite | |
| static TObject::(anonymous) | TObject::kSingleKey | |
| static TObject::(anonymous) | TObject::kWriteDelete | |
| static TObject::(anonymous) | TObject::kZombie |
private:
| TMVA::TActivation* | fActivation | activation equation |
| Double_t | fActivationValue | activation/output value |
| Double_t | fDEDw | sum of all deltas |
| Double_t | fDelta | error field of neuron |
| Double_t | fError | error, only set for output neurons |
| Bool_t | fForcedValue | flag for forced input value |
| TMVA::TNeuronInput* | fInputCalculator | input calculator |
| TObjArray* | fLinksIn | array of input synapses |
| TObjArray* | fLinksOut | array of output synapses |
| Double_t | fValue | input value |
Class Charts
Function documentation
TNeuron(TNeuron::ENeuronType type /*= kSigmoid*/, const char* name /*= ""*/, const char* title /*= ""*/, const char* extF /*= ""*/, const char* extD /*= ""*/ )
Usual constructor
Double_t GetValue() const
Computes the output using the appropriate function and all the weighted inputs, or uses the branch as input. In that case, the branch normalisation is also used.
TNeuron(ENeuronType type = kSigmoid, const char* name = "", const char* title = "", const char* extF = "", const char* extD = "" )
{}