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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMultilayerNeuralNetworkBase.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 __itkMultilayerNeuralNetworkBase_h
#define __itkMultilayerNeuralNetworkBase_h
#include "itkNeuralNetworkObject.h"
#include "itkLayerBase.h"
namespace itk
{
namespace Statistics
{
template<class TMeasurementVector, class TTargetVector,class TLearningLayer=LayerBase<TMeasurementVector, TTargetVector> >
class MultilayerNeuralNetworkBase : public NeuralNetworkObject<TMeasurementVector, TTargetVector>
{
public:
typedef MultilayerNeuralNetworkBase Self;
typedef NeuralNetworkObject<TMeasurementVector, TTargetVector>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
itkTypeMacro(MultilayerNeuralNetworkBase, NeuralNetworkObject);
/** New macro for creation of through a Smart Pointer. */
itkNewMacro( Self );
typedef typename Superclass::ValueType ValueType;
typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
typedef typename Superclass::TargetVectorType TargetVectorType;
typedef typename Superclass::NetworkOutputType NetworkOutputType;
typedef typename Superclass::LayerInterfaceType LayerInterfaceType;
typedef TLearningLayer LearningLayerType;
typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector>
LearningFunctionInterfaceType;
typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer>
WeightVectorType;
typedef std::vector<typename LayerInterfaceType::Pointer>
LayerVectorType;
typedef TransferFunctionBase<ValueType> TransferFunctionInterfaceType;
typedef InputFunctionBase<ValueType*, ValueType> InputFunctionInterfaceType;
//#define __USE_OLD_INTERFACE Comment out to ensure that new interface works
#ifdef __USE_OLD_INTERFACE
itkSetMacro(NumOfLayers, int);
itkGetConstReferenceMacro(NumOfLayers, int);
itkSetMacro(NumOfWeightSets, int);
itkGetConstReferenceMacro(NumOfWeightSets, int);
#else
int GetNumOfLayers(void) const
{
return m_Layers.size();
}
int GetNumOfWeightSets(void) const
{
return m_Weights.size();
}
#endif
void AddLayer(LayerInterfaceType *);
LayerInterfaceType * GetLayer(int layer_id);
const LayerInterfaceType * GetLayer(int layer_id) const;
void AddWeightSet(typename LayerInterfaceType::WeightSetInterfaceType*);
typename LayerInterfaceType::WeightSetInterfaceType* GetWeightSet(unsigned int id)
{
return m_Weights[id].GetPointer();
}
#ifdef __USE_OLD_INTERFACE
const typename LayerInterfaceType::WeightSetInterfaceType* GetWeightSet(unsigned int id) const;
#endif
void SetLearningFunction(LearningFunctionInterfaceType* f);
virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector);
virtual void BackwardPropagate(NetworkOutputType errors);
virtual void UpdateWeights(ValueType);
void SetLearningRule(LearningFunctionInterfaceType*);
void SetLearningRate(ValueType learningrate);
void InitializeWeights();
protected:
MultilayerNeuralNetworkBase();
~MultilayerNeuralNetworkBase();
LayerVectorType m_Layers;
WeightVectorType m_Weights;
typename LearningFunctionInterfaceType::Pointer m_LearningFunction;
ValueType m_LearningRate;
//#define __USE_OLD_INTERFACE Comment out to ensure that new interface works
#ifdef __USE_OLD_INTERFACE
//These are completely redundant variables that can be more reliably queried from
// m_Layers->size() and m_Weights->size();
int m_NumOfLayers;
int m_NumOfWeightSets;
#endif
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMultilayerNeuralNetworkBase.txx"
#endif
#endif
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