ITK  4.6.0
Insight Segmentation and Registration Toolkit
itkOneHiddenLayerBackPropagationNeuralNetwork.h
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18 #ifndef __itkOneHiddenLayerBackPropagationNeuralNetwork_h
19 #define __itkOneHiddenLayerBackPropagationNeuralNetwork_h
20 
30 #include "itkSumInputFunction.h"
31 
32 
33 namespace itk
34 {
35 namespace Statistics
36 {
43 template<typename TMeasurementVector, typename TTargetVector>
45  public MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> >
46 {
47 public:
53 
54  typedef typename Superclass::ValueType ValueType;
58 
61 
64 
69 
73  itkNewMacro(Self);
75 
76  //Add the layers to the network.
77  // 1 input, 1 hidden, 1 output
78  void Initialize();
79 
80  itkSetMacro(NumOfInputNodes, unsigned int);
81  itkGetConstReferenceMacro(NumOfInputNodes, unsigned int);
82 
83  itkSetMacro(NumOfFirstHiddenNodes, unsigned int);
84  itkGetConstReferenceMacro(NumOfFirstHiddenNodes, unsigned int);
85 
86  itkSetMacro(NumOfOutputNodes, unsigned int);
87  itkGetConstReferenceMacro(NumOfOutputNodes, unsigned int);
88 
89  itkSetMacro(FirstHiddenLayerBias, ValueType);
90  itkGetConstReferenceMacro(FirstHiddenLayerBias, ValueType);
91 
92 //#define __USE_OLD_INTERFACE Comment out to ensure that new interface works
93 #ifdef __USE_OLD_INTERFACE
94  //Original Function name before consistency naming changes
95  inline void SetNumOfHiddenNodes(const unsigned int & x) { SetNumOfFirstHiddenNodes(x); }
96  inline unsigned int GetNumOfHiddenNodes(void) const { return GetNumOfFirstHiddenNodes(); }
97  inline void SetHiddenLayerBias(const ValueType & bias) { SetFirstHiddenLayerBias(bias); }
98  ValueType GetHiddenLayerBias(void) const { return GetFirstHiddenLayerBias();}
99 #endif
100  itkSetMacro(OutputLayerBias, ValueType);
101  itkGetConstReferenceMacro(OutputLayerBias, ValueType);
102 
103  virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector);
104 
107 #ifdef __USE_OLD_INTERFACE
108  //Original Function name before consistency naming changes
109  inline void SetHiddenTransferFunction(TransferFunctionInterfaceType* f) { SetFirstHiddenTransferFunction (f); }
110 #endif
113 
114 protected:
115 
118 
120  virtual void PrintSelf( std::ostream& os, Indent indent ) const;
121 
122 private:
123 
124  unsigned int m_NumOfInputNodes;
126  unsigned int m_NumOfOutputNodes;
127 
130 
131  typename InputFunctionInterfaceType::Pointer m_InputFunction;
132  typename TransferFunctionInterfaceType::Pointer m_InputTransferFunction;
133  typename TransferFunctionInterfaceType::Pointer m_FirstHiddenTransferFunction;
134  typename TransferFunctionInterfaceType::Pointer m_OutputTransferFunction;
135 };
136 
137 } // end namespace Statistics
138 } // end namespace itk
139 
140 #ifndef ITK_MANUAL_INSTANTIATION
141 #include "itkOneHiddenLayerBackPropagationNeuralNetwork.hxx"
142 #endif
143 
144 #endif
MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > > Superclass
virtual const unsigned int & GetNumOfFirstHiddenNodes() const
virtual const ValueType & GetFirstHiddenLayerBias() const
void SetInputTransferFunction(TransferFunctionInterfaceType *f)
void SetInputFunction(InputFunctionInterfaceType *f)
virtual void PrintSelf(std::ostream &os, Indent indent) const
virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector)
MeasurementVectorType::ValueType ValueType
void SetFirstHiddenTransferFunction(TransferFunctionInterfaceType *f)
This is the itkMultilayerNeuralNetworkBase class.
void SetOutputTransferFunction(TransferFunctionInterfaceType *f)
Control indentation during Print() invocation.
Definition: itkIndent.h:49
This is the itkOneHiddenLayerBackPropagationNeuralNetwork class.
Base class for all data objects in ITK.