// @(#)root/tmva $Id: TSynapse.h 20882 2007-11-19 11:31:26Z rdm $ // Author: Matt Jachowski /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : TMVA::TSynapse * * Web : http://tmva.sourceforge.net * * * * Description: * * Synapse class for use in derivatives of MethodANNBase * * * * Authors (alphabetical): * * Matt Jachowski <jachowski@stanford.edu> - Stanford University, USA * * * * Copyright (c) 2005: * * CERN, Switzerland * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_TSynapse #define ROOT_TMVA_TSynapse ////////////////////////////////////////////////////////////////////////// // // // TSynapse // // // // Synapse used by derivatives of MethodANNBase // // // ////////////////////////////////////////////////////////////////////////// #include "TString.h" #include "TFormula.h" #ifndef ROOT_TMVA_MsgLogger #include "TMVA/MsgLogger.h" #endif namespace TMVA { class TNeuron; class TSynapse : public TObject { public: TSynapse(); virtual ~TSynapse() {} // set the weight of the synapse void SetWeight(Double_t weight); // get the weight of the synapse Double_t GetWeight() { return fWeight; } // set the learning rate void SetLearningRate(Double_t rate) { fLearnRate = rate; } // get the learning rate Double_t GetLearningRate() { return fLearnRate; } // decay the learning rate void DecayLearningRate(Double_t rate){ fLearnRate *= (1-rate); } // set the pre-neuron void SetPreNeuron(TNeuron* pre) { fPreNeuron = pre; } // set hte post-neuron void SetPostNeuron(TNeuron* post) { fPostNeuron = post; } // get the weighted output of the pre-neuron Double_t GetWeightedValue(); // get the weighted error field of the post-neuron Double_t GetWeightedDelta(); // force the synapse to adjust its weight according to its error field void AdjustWeight(); // calulcate the error field of the synapse void CalculateDelta(); // initialize the error field of the synpase to 0 void InitDelta() { fDelta = 0.0; fCount = 0; } private: Double_t fWeight; // weight of the synapse Double_t fLearnRate; // learning rate parameter Double_t fDelta; // local error field Int_t fCount; // number of updates contributing to error field TNeuron* fPreNeuron; // pointer to pre-neuron TNeuron* fPostNeuron; // pointer to post-neuron Int_t fCounter; // counter for normalization in batch mode mutable MsgLogger fLogger; // message logger ClassDef(TSynapse,0) // Synapse class used by MethodANNBase and derivatives }; } // namespace TMVA #endif