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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkWeightSetBase.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkWeightSetBase_h
#define __itkWeightSetBase_h
#include "itkLightProcessObject.h"
#include <vnl/vnl_matrix.h>
#include <vnl/vnl_diag_matrix.h>
#include "itkMacro.h"
#include "itkVector.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
#include <math.h>
#include <stdlib.h>
namespace itk
{
namespace Statistics
{
template<class TMeasurementVector, class TTargetVector>
class WeightSetBase : public LightProcessObject
{
public:
typedef WeightSetBase Self;
typedef LightProcessObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
itkTypeMacro(WeightSetBase, LightProcessObject);
typedef MersenneTwisterRandomVariateGenerator RandomVariateGeneratorType;
typedef typename TMeasurementVector::ValueType ValueType;
typedef ValueType* ValuePointer;
typedef const ValueType* ValueConstPointer;
void Initialize();
ValueType RandomWeightValue(ValueType low, ValueType high);
virtual void ForwardPropagate(ValuePointer inputlayeroutputvalues);
virtual void BackwardPropagate(ValuePointer inputerror);
void SetConnectivityMatrix(vnl_matrix < int>);
void SetNumberOfInputNodes(unsigned int n);
unsigned int GetNumberOfInputNodes() const;
void SetNumberOfOutputNodes(unsigned int n);
unsigned int GetNumberOfOutputNodes() const;
void SetRange(ValueType Range);
virtual ValuePointer GetOutputValues();
virtual ValuePointer GetInputValues();
ValuePointer GetTotalDeltaValues();
ValuePointer GetTotalDeltaBValues();
ValuePointer GetDeltaValues();
void SetDeltaValues(ValuePointer);
void SetDWValues(ValuePointer);
void SetDBValues(ValuePointer);
ValuePointer GetDeltaBValues();
void SetDeltaBValues(ValuePointer);
ValuePointer GetDWValues();
ValuePointer GetPrevDWValues();
ValuePointer GetPrevDBValues();
ValuePointer GetPrev_m_2DWValues();
ValuePointer GetPrevDeltaValues();
ValuePointer GetPrev_m_2DeltaValues();
ValuePointer GetPrevDeltaBValues();
ValuePointer GetWeightValues();
ValueConstPointer GetWeightValues() const;
void SetWeightValues(ValuePointer weights);
virtual void UpdateWeights(ValueType LearningRate);
itkSetMacro( Momentum, ValueType );
itkGetConstReferenceMacro( Momentum, ValueType );
itkSetMacro( Bias, ValueType );
itkGetConstReferenceMacro( Bias, ValueType );
itkSetMacro( FirstPass, bool );
itkGetConstMacro( FirstPass, bool );
itkSetMacro( SecondPass, bool );
itkGetConstMacro( SecondPass, bool );
void InitializeWeights();
itkSetMacro(WeightSetId,unsigned int);
itkGetConstMacro(WeightSetId,unsigned int);
itkSetMacro(InputLayerId,unsigned int);
itkGetConstMacro(InputLayerId,unsigned int);
itkSetMacro(OutputLayerId,unsigned int);
itkGetConstMacro(OutputLayerId,unsigned int);
protected:
WeightSetBase();
~WeightSetBase();
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
typename RandomVariateGeneratorType::Pointer m_RandomGenerator;
unsigned int m_NumberOfInputNodes;
unsigned int m_NumberOfOutputNodes;
vnl_matrix<ValueType> m_OutputValues;
vnl_matrix<ValueType> m_InputErrorValues;
// weight updates dw=lr * del *y
// DW= current
// DW_m_1 = previous
// DW_m_2= second to last
// same applies for delta and bias values
vnl_matrix<ValueType> m_DW; // delta valies for weight update
vnl_matrix<ValueType> m_DW_new; // delta valies for weight update
vnl_matrix<ValueType> m_DW_m_1; // delta valies for weight update
vnl_matrix<ValueType> m_DW_m_2; // delta valies for weight update
vnl_matrix<ValueType> m_DW_m; // delta valies for weight update
vnl_vector<ValueType> m_DB; // delta values for bias update
vnl_vector<ValueType> m_DB_new; // delta values for bias update
vnl_vector<ValueType> m_DB_m_1; // delta values for bias update
vnl_vector<ValueType> m_DB_m_2; // delta values for bias update
vnl_matrix<ValueType> m_Del; // dw=lr * del * y
vnl_matrix<ValueType> m_Del_new; // dw=lr * del * y
vnl_matrix<ValueType> m_Del_m_1; // dw=lr * del * y
vnl_matrix<ValueType> m_Del_m_2; // dw=lr * del * y
vnl_vector<ValueType> m_Delb; // delta values for bias update
vnl_vector<ValueType> m_Delb_new; // delta values for bias update
vnl_vector<ValueType> m_Delb_m_1; // delta values for bias update
vnl_vector<ValueType> m_Delb_m_2; // delta values for bias update
vnl_matrix<ValueType> m_InputLayerOutput;
vnl_matrix<ValueType> m_WeightMatrix; // composed of weights and a column
// of biases
vnl_matrix<int> m_ConnectivityMatrix;
ValueType m_Momentum;
ValueType m_Bias;
bool m_FirstPass;
bool m_SecondPass;
ValueType m_Range;
unsigned int m_InputLayerId;
unsigned int m_OutputLayerId;
unsigned int m_WeightSetId;
}; //class
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkWeightSetBase.txx"
#endif
#endif
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