/usr/include/ITK-4.5/itkRBFBackPropagationLearningFunction.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 __itkRBFBackPropagationLearningFunction_h
#define __itkRBFBackPropagationLearningFunction_h
#include <iostream>
#include "itkLearningFunctionBase.h"
#include "itkRBFLayer.h"
namespace itk
{
namespace Statistics
{
/** \class RBFBackPropagationLearningFunction
* \brief This is the itkRBFBackPropagationLearningFunction class.
*
* \ingroup ITKNeuralNetworks
*/
template<typename LayerType, typename 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.hxx"
#endif
#endif
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