ITK  4.2.0
Insight Segmentation and Registration Toolkit
itkTwoHiddenLayerBackPropagationNeuralNetwork.h
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5  * Licensed under the Apache License, Version 2.0 (the "License");
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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<class TMeasurementVector, class 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 protected:
115 
118 
120  virtual void PrintSelf( std::ostream& os, Indent indent ) const;
121 
122 private:
123 
124  unsigned int m_NumOfInputNodes;
127  unsigned int m_NumOfOutputNodes;
128 
132 
133  typename InputFunctionInterfaceType::Pointer m_InputFunction;
134  typename TransferFunctionInterfaceType::Pointer m_InputTransferFunction;
135  typename TransferFunctionInterfaceType::Pointer m_FirstHiddenTransferFunction;
136  typename TransferFunctionInterfaceType::Pointer m_SecondHiddenTransferFunction;
137  typename TransferFunctionInterfaceType::Pointer m_OutputTransferFunction;
138 };
139 
140 } // end namespace Statistics
141 } // end namespace itk
142 
143 #ifndef ITK_MANUAL_INSTANTIATION
144 #include "itkTwoHiddenLayerBackPropagationNeuralNetwork.hxx"
145 #endif
146 
147 #endif
148