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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBackPropagationLayer.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 __itkBackPropagationLayer_h
#define __itkBackPropagationLayer_h
#include "itkCompletelyConnectedWeightSet.h"
#include "itkLayerBase.h"
#include "itkObject.h"
#include "itkMacro.h"
namespace itk
{
namespace Statistics
{
template<class TMeasurementVector, class TTargetVector>
class BackPropagationLayer : public LayerBase<TMeasurementVector, TTargetVector>
{
public:
typedef BackPropagationLayer Self;
typedef LayerBase<TMeasurementVector, TTargetVector> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkTypeMacro(BackPropagationLayer, LayerBase);
itkNewMacro(Self);
typedef typename Superclass::ValueType ValueType;
typedef vnl_vector<ValueType> NodeVectorType;
typedef typename Superclass::InternalVectorType InternalVectorType;
typedef typename Superclass::OutputVectorType OutputVectorType;
typedef typename Superclass::LayerInterfaceType LayerInterfaceType;
typedef CompletelyConnectedWeightSet<TMeasurementVector,TTargetVector>
WeightSetType;
typedef typename Superclass::WeightSetInterfaceType WeightSetInterfaceType;
typedef typename Superclass::InputFunctionInterfaceType
InputFunctionInterfaceType;
typedef typename Superclass::TransferFunctionInterfaceType
TransferFunctionInterfaceType;
//Member Functions
virtual void SetNumberOfNodes(unsigned int numNodes);
virtual ValueType GetInputValue(unsigned int i) const;
virtual void SetInputValue(unsigned int i, ValueType value);
virtual ValueType GetOutputValue(unsigned int) const;
virtual void SetOutputValue(unsigned int, ValueType);
virtual ValueType * GetOutputVector();
void SetOutputVector(TMeasurementVector value);
virtual void ForwardPropagate();
virtual void ForwardPropagate(TMeasurementVector input);
virtual void BackwardPropagate();
virtual void BackwardPropagate(InternalVectorType errors);
virtual void SetOutputErrorValues(TTargetVector);
virtual ValueType GetOutputErrorValue(unsigned int node_id) const;
virtual ValueType GetInputErrorValue(unsigned int node_id) const;
virtual ValueType * GetInputErrorVector();
virtual void SetInputErrorValue(ValueType, unsigned int node_id);
virtual ValueType Activation(ValueType);
virtual ValueType DActivation(ValueType);
/** Set/Get the bias */
itkSetMacro( Bias, ValueType );
itkGetConstReferenceMacro( Bias, ValueType );
protected:
BackPropagationLayer();
virtual ~BackPropagationLayer();
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
private:
NodeVectorType m_NodeInputValues;
NodeVectorType m_NodeOutputValues;
NodeVectorType m_InputErrorValues;
NodeVectorType m_OutputErrorValues;
ValueType m_Bias;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkBackPropagationLayer.txx"
#endif
#endif
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