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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkBackPropagationLayer_h
#define itkBackPropagationLayer_h
#include "itkCompletelyConnectedWeightSet.h"
#include "itkLayerBase.h"
#include "itkObject.h"
#include "itkMacro.h"
namespace itk
{
namespace Statistics
{
/** \class BackPropagationLayer
* \brief This is the itkBackPropagationLayer class.
*
* \ingroup ITKNeuralNetworks
*/
template<typename TMeasurementVector, typename TTargetVector>
class ITK_TEMPLATE_EXPORT 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) ITK_OVERRIDE;
virtual ValueType GetInputValue(unsigned int i) const ITK_OVERRIDE;
virtual void SetInputValue(unsigned int i, ValueType value);
virtual ValueType GetOutputValue(unsigned int) const ITK_OVERRIDE;
virtual void SetOutputValue(unsigned int, ValueType);
virtual ValueType * GetOutputVector() ITK_OVERRIDE;
void SetOutputVector(TMeasurementVector value);
virtual void ForwardPropagate() ITK_OVERRIDE;
virtual void ForwardPropagate(TMeasurementVector input) ITK_OVERRIDE;
virtual void BackwardPropagate() ITK_OVERRIDE;
virtual void BackwardPropagate(InternalVectorType errors) ITK_OVERRIDE;
virtual void SetOutputErrorValues(TTargetVector) ITK_OVERRIDE;
virtual ValueType GetOutputErrorValue(unsigned int node_id) const ITK_OVERRIDE;
virtual ValueType GetInputErrorValue(unsigned int node_id) const ITK_OVERRIDE;
virtual ValueType * GetInputErrorVector() ITK_OVERRIDE;
virtual void SetInputErrorValue(ValueType, unsigned int node_id) ITK_OVERRIDE;
virtual ValueType Activation(ValueType) ITK_OVERRIDE;
virtual ValueType DActivation(ValueType) ITK_OVERRIDE;
/** Set/Get the bias */
itkSetMacro( Bias, ValueType );
itkGetConstReferenceMacro( Bias, ValueType );
protected:
BackPropagationLayer();
virtual ~BackPropagationLayer() ITK_OVERRIDE;
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const ITK_OVERRIDE;
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.hxx"
#endif
#endif
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