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📄 itkrbfbackpropagationlearningfunction.h

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

Program:   Insight Segmentation & Registration Toolkit
Module:    $RCSfile: itkRBFBackPropagationLearningFunction.h,v $
Language:  C++
Date:      $Date: 2007-08-17 13:10:57 $
Version:   $Revision: 1.2 $

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 __itkRBFBackPropagationLearningFunction_h
#define __itkRBFBackPropagationLearningFunction_h

#include <iostream>
#include "itkLightProcessObject.h"
#include "itkLearningFunctionBase.h"
#include "itkRBFLayer.h"

namespace itk
{
  namespace Statistics
    {

    template<class LayerType, class TTargetVector>
      class RBFBackPropagationLearningFunction : public LearningFunctionBase<LayerType, TTargetVector>
        {
      public:

        typedef RBFBackPropagationLearningFunction Self;
        typedef LearningFunctionBase<LayerType, TTargetVector> Superclass;
        typedef SmartPointer<Self> Pointer;
        typedef SmartPointer<const Self> ConstPointer;

        typedef typename LayerType::LayerInterfaceType LayerInterfaceType;
        /** Method for creation through the object factory. */
        itkTypeMacro(RBFBackPropagationLearningFunction, LearningFunctionBase);

        /** Method for creation through the object factory. */
        itkNewMacro(Self);

        typedef typename Superclass::ValueType ValueType;

        virtual void Learn(LayerType* layer,ValueType learningrate);
        virtual void Learn(LayerType* layer, TTargetVector error, ValueType learningrate);

        itkSetMacro(LearningRate1, ValueType);
        itkGetMacro(LearningRate1, ValueType);
        itkSetMacro(LearningRate2, ValueType);
        itkGetMacro(LearningRate2, ValueType);
        itkSetMacro(LearningRate3, ValueType);
        itkGetMacro(LearningRate3, ValueType);

      protected:

        RBFBackPropagationLearningFunction();
        virtual ~RBFBackPropagationLearningFunction() {};

        /** Method to print the object. */
        virtual void PrintSelf( std::ostream& os, Indent indent ) const;

      private:

        ValueType             m_LearningRate1;   // output weights
        ValueType             m_LearningRate2;   // centers
        ValueType             m_LearningRate3;   // widths
        vnl_vector<ValueType> m_OutputErrors;

        };

    } // end namespace Statistics
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkRBFBackPropagationLearningFunction.txx"
#endif

#endif

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