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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkNeuralNetworkObject.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 __itkNeuralNetworkObject_h
#define __itkNeuralNetworkObject_h
#include "itkDataObject.h"
#include "itkLayerBase.h"
#include "itkWeightSetBase.h"
#include "itkLearningFunctionBase.h"
namespace itk
{
namespace Statistics
{
template<class TMeasurementVector, class TTargetVector >
class NeuralNetworkObject : public DataObject
{
public:
typedef NeuralNetworkObject Self;
typedef DataObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
itkTypeMacro(NeuralNetworkObject, DataObject);
typedef TMeasurementVector MeasurementVectorType;
typedef typename MeasurementVectorType::ValueType ValueType;
typedef Array<ValueType> NetworkOutputType;
typedef TTargetVector TargetVectorType;
typedef LayerBase<TMeasurementVector, TTargetVector> LayerInterfaceType;
virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector)=0;
virtual void BackwardPropagate(NetworkOutputType errors) = 0;
virtual void UpdateWeights(ValueType) = 0;
protected:
NeuralNetworkObject();
virtual ~NeuralNetworkObject();
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
ValueType m_LearningRate;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkNeuralNetworkObject.txx"
#endif
#endif
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