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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkOneHiddenLayerBackPropagationNeuralNetwork.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 __itkOneHiddenLayerBackPropagationNeuralNetwork_h
#define __itkOneHiddenLayerBackPropagationNeuralNetwork_h
#include "itkMultilayerNeuralNetworkBase.h"
#include "itkBackPropagationLayer.h"
#include "itkSigmoidTransferFunction.h"
#include "itkLogSigmoidTransferFunction.h"
#include "itkTanSigmoidTransferFunction.h"
#include "itkHardLimitTransferFunction.h"
#include "itkSignedHardLimitTransferFunction.h"
#include "itkGaussianTransferFunction.h"
#include "itkIdentityTransferFunction.h"
#include "itkSumInputFunction.h"
//#include "itkProductInputFunction.h"
namespace itk
{
namespace Statistics
{
template<class TMeasurementVector, class TTargetVector>
class OneHiddenLayerBackPropagationNeuralNetwork :
public MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> >
{
public:
typedef OneHiddenLayerBackPropagationNeuralNetwork Self;
typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> >
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
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 typename Superclass::LearningLayerType LearningLayerType;
typedef typename Superclass::WeightVectorType WeightVectorType;
typedef typename Superclass::LayerVectorType LayerVectorType;
typedef typename Superclass::TransferFunctionInterfaceType
TransferFunctionInterfaceType;
typedef typename Superclass::InputFunctionInterfaceType
InputFunctionInterfaceType;
/* Method for creation through the object factory. */
itkTypeMacro(OneHiddenLayerBackPropagationNeuralNetwork,
MultilayerNeuralNetworkBase);
itkNewMacro(Self);
//Add the layers to the network.
// 1 input, 1 hidden, 1 output
void Initialize();
itkSetMacro(NumOfInputNodes, unsigned int);
itkGetConstReferenceMacro(NumOfInputNodes, unsigned int);
itkSetMacro(NumOfFirstHiddenNodes, unsigned int);
itkGetConstReferenceMacro(NumOfFirstHiddenNodes, unsigned int);
itkSetMacro(NumOfOutputNodes, unsigned int);
itkGetConstReferenceMacro(NumOfOutputNodes, unsigned int);
itkSetMacro(FirstHiddenLayerBias, ValueType);
itkGetConstReferenceMacro(FirstHiddenLayerBias, ValueType);
//#define __USE_OLD_INTERFACE Comment out to ensure that new interface works
#ifdef __USE_OLD_INTERFACE
//Original Function name before consistency naming changes
inline void SetNumOfHiddenNodes(const unsigned int & x) { SetNumOfFirstHiddenNodes(x); }
inline unsigned int GetNumOfHiddenNodes(void) const { return GetNumOfFirstHiddenNodes(); }
inline void SetHiddenLayerBias(const ValueType & bias) { SetFirstHiddenLayerBias(bias); }
ValueType GetHiddenLayerBias(void) const { return GetFirstHiddenLayerBias();}
#endif
itkSetMacro(OutputLayerBias, ValueType);
itkGetConstReferenceMacro(OutputLayerBias, ValueType);
virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector);
void SetInputFunction(InputFunctionInterfaceType* f);
void SetInputTransferFunction(TransferFunctionInterfaceType* f);
#ifdef __USE_OLD_INTERFACE
//Original Function name before consistency naming changes
inline void SetHiddenTransferFunction(TransferFunctionInterfaceType* f) { SetFirstHiddenTransferFunction (f); }
#endif
void SetFirstHiddenTransferFunction(TransferFunctionInterfaceType* f);
void SetOutputTransferFunction(TransferFunctionInterfaceType* f);
protected:
OneHiddenLayerBackPropagationNeuralNetwork();
virtual ~OneHiddenLayerBackPropagationNeuralNetwork(){};
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
private:
unsigned int m_NumOfInputNodes;
unsigned int m_NumOfFirstHiddenNodes;
unsigned int m_NumOfOutputNodes;
ValueType m_FirstHiddenLayerBias;
ValueType m_OutputLayerBias;
typename InputFunctionInterfaceType::Pointer m_InputFunction;
typename TransferFunctionInterfaceType::Pointer m_InputTransferFunction;
typename TransferFunctionInterfaceType::Pointer m_FirstHiddenTransferFunction;
typename TransferFunctionInterfaceType::Pointer m_OutputTransferFunction;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkOneHiddenLayerBackPropagationNeuralNetwork.txx"
#endif
#endif
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