/*=========================================================================
 *
 *  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 __itkErrorBackPropagationLearningFunctionBase_h
#define __itkErrorBackPropagationLearningFunctionBase_h

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

namespace itk
{
namespace Statistics
{
/** \class ErrorBackPropagationLearningFunctionBase
 *  \brief The ErrorBackPropagationLearningFunctionBase 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 ErrorBackPropagationLearningFunctionBase : public LearningFunctionBase<typename LayerType::LayerInterfaceType, TTargetVector>
{
public:
  typedef ErrorBackPropagationLearningFunctionBase Self;
  typedef LearningFunctionBase<typename LayerType::LayerInterfaceType, TTargetVector>
                                                   Superclass;
  typedef SmartPointer<Self>                       Pointer;
  typedef SmartPointer<const Self>                 ConstPointer;

  typedef typename Superclass::ValueType         ValueType;
  typedef typename LayerType::LayerInterfaceType LayerInterfaceType;

  /** Method for creation through the object factory. */
  itkTypeMacro(ErrorBackPropagationLearningFunctionBase, LearningFunctionBase);

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

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

protected:

  ErrorBackPropagationLearningFunctionBase() {};
  ~ErrorBackPropagationLearningFunctionBase() {};

  virtual void PrintSelf( std::ostream& os, Indent indent ) const;

};

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

#ifndef ITK_MANUAL_INSTANTIATION
  #include "itkErrorBackPropagationLearningFunctionBase.hxx"
#endif

#endif
