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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkLearningFunctionBase.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.
=========================================================================*/
/** \class LearningFunctionBase
* \brief The LearningFunctionBase is the base class for all the learning strategies.
* These include error back propagation, bp+momentum, conjugte gradient descent, quick prop.
* This class specifies how the errors are backpropagated for a layer. They take a LayerBase
* object as input and compute the input for the layers input weightset */
#ifndef __itkLearningFunctionBase_h
#define __itkLearningFunctionBase_h
#include "itkLightProcessObject.h"
namespace itk
{
namespace Statistics
{
template<class LayerType, class TTargetVector>
class LearningFunctionBase : public LightProcessObject
{
public:
typedef LearningFunctionBase Self;
typedef LightProcessObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkTypeMacro(LearningFunctionBase, LightProcessObject);
typedef typename LayerType::ValueType ValueType;
virtual void Learn(LayerType* layer, ValueType) = 0;
virtual void Learn(LayerType* layer, TTargetVector error,ValueType) = 0;
protected:
LearningFunctionBase() {};
~LearningFunctionBase() {};
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const
{
Superclass::PrintSelf( os, indent );
os << indent << "LearningFunctionBase(" << this << ")" << std::endl;
}
};
} // end namespace Statistics
} // end namespace itk
#endif
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