ITK  4.6.0
Insight Segmentation and Registration Toolkit
itkTwoHiddenLayerBackPropagationNeuralNetwork.h
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18 #ifndef __itkTwoHiddenLayerBackPropagationNeuralNetwork_h
19 #define __itkTwoHiddenLayerBackPropagationNeuralNetwork_h
20 
30 #include "itkSumInputFunction.h"
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 
67 
71  itkNewMacro(Self);
73 
74  //Add the layers to the network.
75  // 1 input, 2 hidden, 1 output
76  void Initialize();
77 
78  itkSetMacro(NumOfInputNodes, unsigned int);
79  itkGetConstReferenceMacro(NumOfInputNodes, unsigned int);
80 
81  itkSetMacro(NumOfFirstHiddenNodes, unsigned int);
82  itkGetConstReferenceMacro(NumOfFirstHiddenNodes, unsigned int);
83 
84  itkSetMacro(NumOfSecondHiddenNodes, unsigned int);
85  itkGetConstReferenceMacro(NumOfSecondHiddenNodes,unsigned int);
86  //#define __USE_OLD_INTERFACE Comment out to ensure that new interface works
87 #ifdef __USE_OLD_INTERFACE
88  //Original Function name before consistency naming changes
89  inline void SetNumOfHiddenNodes1(unsigned int x) { SetNumOfFirstHiddenNodes(x); }
90  inline unsigned int GetNumOfHiddenNodes1(void) const { return GetNumOfFirstHiddenNodes(); }
91  inline void SetNumOfHiddenNodes2(unsigned int x) { SetNumOfSecondHiddenNodes(x); }
92  inline unsigned int GetNumOfHiddenNodes2(void) const { return GetNumOfSecondHiddenNodes(); }
93 #endif
94 
95  itkSetMacro(NumOfOutputNodes, unsigned int);
96  itkGetConstReferenceMacro(NumOfOutputNodes, unsigned int);
97 
98  itkSetMacro(FirstHiddenLayerBias, ValueType);
99  itkGetConstReferenceMacro(FirstHiddenLayerBias, ValueType);
100 
101  itkSetMacro(SecondHiddenLayerBias, ValueType);
102  itkGetConstReferenceMacro(SecondHiddenLayerBias, ValueType);
103 
104  itkSetMacro(OutputLayerBias, ValueType);
105  itkGetConstReferenceMacro(OutputLayerBias, ValueType);
106 
107  virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector);
108 
114 
115 protected:
116 
119 
121  virtual void PrintSelf( std::ostream& os, Indent indent ) const;
122 
123 private:
124 
125  unsigned int m_NumOfInputNodes;
128  unsigned int m_NumOfOutputNodes;
129 
133 
134  typename InputFunctionInterfaceType::Pointer m_InputFunction;
135  typename TransferFunctionInterfaceType::Pointer m_InputTransferFunction;
136  typename TransferFunctionInterfaceType::Pointer m_FirstHiddenTransferFunction;
137  typename TransferFunctionInterfaceType::Pointer m_SecondHiddenTransferFunction;
138  typename TransferFunctionInterfaceType::Pointer m_OutputTransferFunction;
139 };
140 
141 } // end namespace Statistics
142 } // end namespace itk
143 
144 #ifndef ITK_MANUAL_INSTANTIATION
145 #include "itkTwoHiddenLayerBackPropagationNeuralNetwork.hxx"
146 #endif
147 
148 #endif
This is the itkTwoHiddenLayerBackPropagationNeuralNetwork class.
virtual const unsigned int & GetNumOfFirstHiddenNodes() const
void SetSecondHiddenTransferFunction(TransferFunctionInterfaceType *f)
void SetInputFunction(InputFunctionInterfaceType *f)
MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > > Superclass
virtual void PrintSelf(std::ostream &os, Indent indent) const
MeasurementVectorType::ValueType ValueType
void SetInputTransferFunction(TransferFunctionInterfaceType *f)
This is the itkMultilayerNeuralNetworkBase class.
virtual const unsigned int & GetNumOfSecondHiddenNodes() const
void SetOutputTransferFunction(TransferFunctionInterfaceType *f)
virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector)
Control indentation during Print() invocation.
Definition: itkIndent.h:49
void SetFirstHiddenTransferFunction(TransferFunctionInterfaceType *f)
Base class for all data objects in ITK.