text: /*=========================================================================
   *
   *  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_hxx
  #define __itkErrorBackPropagationLearningFunctionBase_hxx
  
  #include "itkErrorBackPropagationLearningFunctionBase.h"
  
  #include "vnl/vnl_matrix.h"
  
  namespace itk
  {
  namespace Statistics
  {
  
  template<class LayerType, class TTargetVector>
  void
  ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
  ::Learn( LayerInterfaceType * layer, ValueType lr )
  {
    typename LayerInterfaceType::WeightSetType::Pointer outputweightset;
    typename LayerInterfaceType::WeightSetType::Pointer inputweightset;
  
    outputweightset = layer->GetOutputWeightSet();
    inputweightset = layer->GetInputWeightSet();
  
    typename LayerInterfaceType::ValuePointer currentdeltavalues = inputweightset->GetTotalDeltaValues();
  
    vnl_matrix<ValueType> DW_temp(currentdeltavalues,inputweightset->GetNumberOfOutputNodes(),
                                             inputweightset->GetNumberOfInputNodes());
  
    DW_temp *= lr;
    inputweightset->SetDWValues(DW_temp.data_block());
    typename LayerType::LayerInterfaceType::ValuePointer DBValues = inputweightset->GetDeltaBValues();
    vnl_vector<ValueType> DB;
    DB.set_size(inputweightset->GetNumberOfOutputNodes());
    DB.fill(0);
    DB.copy_in(DBValues);
    DB *= lr;
    inputweightset->SetDBValues(DB.data_block());
  }
  
  template<class LayerType, class TTargetVector>
  void
  ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
  ::Learn( LayerInterfaceType * , TTargetVector , ValueType )
  {
  }
  
  /** Print the object */
  template<class LayerType, class TTargetVector>
  void
  ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
  ::PrintSelf( std::ostream& os, Indent indent ) const
  {
    os << indent << "ErrorBackPropagationLearningFunctionBase(" << this << ")" << std::endl;
    Superclass::PrintSelf( os, indent );
  }
  
  } // end namespace Statistics
  } // end namespace itk
  
  
  #endif
  