itkneuralnetworkobject.h

DTMK软件开发包,此为开源软件,是一款很好的医学图像开发资源.

/*=========================================================================

Program:   Insight Segmentation & Registration Toolkit
Module:    $RCSfile: itkNeuralNetworkObject.h,v $
Language:  C++
Date:      $Date: 2007-08-17 13:10:57 $
Version:   $Revision: 1.3 $

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 __NeuralNetworkObject_h
#define __NeuralNetworkObject_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