/usr/include/ITK-4.5/itkQuickPropLearningRule.h is in libinsighttoolkit4-dev 4.5.0-3.
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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 __itkQuickPropLearningRule_h
#define __itkQuickPropLearningRule_h
#include <iostream>
#include "itkLearningFunctionBase.h"
namespace itk
{
namespace Statistics
{
/** \class QuickPropLearningRule
* \brief The QuickPropLearningRule is the base class for all
* the ErrorBackPropagationLearning strategies.
*
* ErrorBackPropagationLearning strategies include error back propagation,
* bp+momentum, conjugte gradient descent, and 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.
*
* \ingroup ITKNeuralNetworks
*/
template<typename LayerType, typename TTargetVector>
class QuickPropLearningRule : public LearningFunctionBase<LayerType, TTargetVector>
{
public:
typedef QuickPropLearningRule Self;
typedef LearningFunctionBase<LayerType, TTargetVector> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkTypeMacro(QuickPropLearningRule, 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 errors, ValueType learningrate);
itkSetMacro(Max_Growth_Factor, ValueType);
itkGetConstReferenceMacro(Max_Growth_Factor,ValueType);
itkSetMacro(Decay, ValueType);
itkGetConstReferenceMacro(Decay,ValueType);
protected:
QuickPropLearningRule();
virtual ~QuickPropLearningRule(){};
ValueType m_Momentum;
ValueType m_Max_Growth_Factor;
ValueType m_Decay;
ValueType m_Threshold;
ValueType m_Epsilon;
ValueType m_SigmoidPrimeOffset;
ValueType m_SplitEpsilon;
/** Method to print the object. */
virtual void PrintSelf( std::ostream& os, Indent indent ) const;
};
} // end namespace Statistics
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkQuickPropLearningRule.hxx"
#endif
#endif
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