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itkMultilayerNeuralNetworkBase.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkMultilayerNeuralNetworkBase.h,v $
00005   Language:  C++
00006   Date:      $Date: 2009-01-28 21:04:59 $
00007   Version:   $Revision: 1.11 $
00008 
00009   Copyright (c) Insight Software Consortium. All rights reserved.
00010   See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
00011 
00012      This software is distributed WITHOUT ANY WARRANTY; without even
00013      the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
00014      PURPOSE.  See the above copyright notices for more information.
00015 
00016 =========================================================================*/
00017 #ifndef __itkMultilayerNeuralNetworkBase_h
00018 #define __itkMultilayerNeuralNetworkBase_h
00019 
00020 #include "itkNeuralNetworkObject.h"
00021 #include "itkLayerBase.h"
00022 
00023 namespace itk
00024 {
00025 namespace Statistics
00026 {
00027 
00028 template<class TMeasurementVector, class TTargetVector,class TLearningLayer=LayerBase<TMeasurementVector, TTargetVector> >
00029 class MultilayerNeuralNetworkBase : public NeuralNetworkObject<TMeasurementVector, TTargetVector>
00030 {
00031 public:
00032   
00033   typedef MultilayerNeuralNetworkBase  Self;
00034   typedef NeuralNetworkObject<TMeasurementVector, TTargetVector>
00035                                        Superclass;
00036   typedef SmartPointer<Self>           Pointer;
00037   typedef SmartPointer<const Self>     ConstPointer;
00038   
00039   itkTypeMacro(MultilayerNeuralNetworkBase, NeuralNetworkObject);
00040 
00042   itkNewMacro( Self );
00043 
00044   typedef typename Superclass::ValueType             ValueType;
00045   typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
00046   typedef typename Superclass::TargetVectorType      TargetVectorType;
00047   typedef typename Superclass::NetworkOutputType     NetworkOutputType;
00048 
00049   typedef typename Superclass::LayerInterfaceType        LayerInterfaceType;
00050   
00051   typedef TLearningLayer                                 LearningLayerType;
00052   typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector>
00053                                                          LearningFunctionInterfaceType;
00054 
00055   typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer>
00056                                                          WeightVectorType;
00057         typedef std::vector<typename LayerInterfaceType::Pointer>
00058                                                          LayerVectorType;
00059 
00060         typedef TransferFunctionBase<ValueType>          TransferFunctionInterfaceType;
00061         typedef InputFunctionBase<ValueType*, ValueType> InputFunctionInterfaceType;
00062 
00063 //#define __USE_OLD_INTERFACE  Comment out to ensure that new interface works
00064 #ifdef __USE_OLD_INTERFACE
00065   itkSetMacro(NumOfLayers, int);
00066   itkGetConstReferenceMacro(NumOfLayers, int);
00067 
00068   itkSetMacro(NumOfWeightSets, int);
00069   itkGetConstReferenceMacro(NumOfWeightSets, int);
00070 #else
00071   int GetNumOfLayers(void) const
00072     {
00073     return m_Layers.size();
00074     }
00075   int GetNumOfWeightSets(void) const
00076     {
00077     return m_Weights.size();
00078     }
00079   
00080 #endif
00081 
00082   void AddLayer(LayerInterfaceType *);
00083   LayerInterfaceType * GetLayer(int layer_id);
00084   const LayerInterfaceType * GetLayer(int layer_id) const;
00085   
00086   void AddWeightSet(typename LayerInterfaceType::WeightSetInterfaceType*);
00087   typename LayerInterfaceType::WeightSetInterfaceType* GetWeightSet(unsigned int id)
00088     {
00089     return m_Weights[id].GetPointer();
00090     }
00091 #ifdef __USE_OLD_INTERFACE
00092   const typename LayerInterfaceType::WeightSetInterfaceType* GetWeightSet(unsigned int id) const;
00093 #endif
00094   
00095   void SetLearningFunction(LearningFunctionInterfaceType* f);
00096 
00097   virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector);
00098 
00099   virtual void BackwardPropagate(NetworkOutputType errors);
00100   virtual void UpdateWeights(ValueType);
00101 
00102   void SetLearningRule(LearningFunctionInterfaceType*);
00103 
00104   void SetLearningRate(ValueType learningrate);
00105 
00106   void InitializeWeights();
00107 
00108 protected:
00109   MultilayerNeuralNetworkBase();
00110   ~MultilayerNeuralNetworkBase();
00111 
00112   LayerVectorType                                   m_Layers;
00113   WeightVectorType                                  m_Weights;
00114   typename LearningFunctionInterfaceType::Pointer   m_LearningFunction;
00115   ValueType                                         m_LearningRate;
00116   //#define __USE_OLD_INTERFACE  Comment out to ensure that new interface works
00117 #ifdef __USE_OLD_INTERFACE
00118   //These are completely redundant variables that can be more reliably queried from
00119   // m_Layers->size() and m_Weights->size();
00120   int                             m_NumOfLayers;
00121   int                             m_NumOfWeightSets;
00122 #endif
00123 
00124   virtual void PrintSelf( std::ostream& os, Indent indent ) const;
00125 };
00126 
00127 } // end namespace Statistics
00128 } // end namespace itk
00129 
00130 #ifndef ITK_MANUAL_INSTANTIATION
00131 #include "itkMultilayerNeuralNetworkBase.txx"
00132 #endif
00133 
00134 #endif
00135 

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