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TNeuronInputSqSum.h
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1// @(#)root/tmva $Id$
2// Author: Matt Jachowski
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : TMVA::TNeuronInputSqSum *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: *
11 * TNeuron input calculator -- calculates the square *
12 * of the weighted sum of inputs. *
13 * *
14 * Authors (alphabetical): *
15 * Matt Jachowski <jachowski@stanford.edu> - Stanford University, USA *
16 * *
17 * Copyright (c) 2005: *
18 * CERN, Switzerland *
19 * *
20 * Redistribution and use in source and binary forms, with or without *
21 * modification, are permitted according to the terms listed in LICENSE *
22 * (http://tmva.sourceforge.net/LICENSE) *
23 **********************************************************************************/
24
25
26#ifndef ROOT_TMVA_TNeuronInputSqSum
27#define ROOT_TMVA_TNeuronInputSqSum
28
29//////////////////////////////////////////////////////////////////////////
30// //
31// TNeuronInputSqSum //
32// //
33// TNeuron input calculator -- calculates the squared weighted sum of //
34// inputs //
35// //
36//////////////////////////////////////////////////////////////////////////
37
38#include "TObject.h"
39#include "TString.h"
40
41#include "TMVA/TNeuronInput.h"
42#include "TMVA/TNeuron.h"
43
44namespace TMVA {
45
47
48 public:
49
51 virtual ~TNeuronInputSqSum() {}
52
53 // calculate the input value for the neuron
54 Double_t GetInput( const TNeuron* neuron ) const {
55 if (neuron->IsInputNeuron()) return 0;
56 Double_t result = 0;
57 for (Int_t i=0; i < neuron->NumPreLinks(); i++) {
58 Double_t val = neuron->PreLinkAt(i)->GetWeightedValue();
59 result += val*val;
60 }
61 return result;
62 }
63
64 // name of the class
65 TString GetName() { return "Sum of weighted activations squared"; }
66
67 ClassDef(TNeuronInputSqSum,0); // Calculates square of weighted sum of neuron inputs
68 };
69
70} // namespace TMVA
71
72#endif
int Int_t
Definition: RtypesCore.h:41
double Double_t
Definition: RtypesCore.h:55
#define ClassDef(name, id)
Definition: Rtypes.h:326
TNeuron input calculator – calculates the squared weighted sum of inputs.
Double_t GetInput(const TNeuron *neuron) const
Interface for TNeuron input calculation classes.
Definition: TNeuronInput.h:42
Neuron class used by TMVA artificial neural network methods.
Definition: TNeuron.h:49
Bool_t IsInputNeuron() const
Definition: TNeuron.h:116
Int_t NumPreLinks() const
Definition: TNeuron.h:108
TSynapse * PreLinkAt(Int_t index) const
Definition: TNeuron.h:110
Double_t GetWeightedValue()
get output of pre-neuron weighted by synapse weight
Definition: TSynapse.cxx:77
Basic string class.
Definition: TString.h:131
create variable transformations