00001 /*========================================================================= 00002 00003 Program: Insight Segmentation & Registration Toolkit 00004 Module: $RCSfile: itkNeuralNetworkObject.h,v $ 00005 Language: C++ 00006 Date: $Date: 2009-01-28 21:04:59 $ 00007 Version: $Revision: 1.4 $ 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 00018 #ifndef __itkNeuralNetworkObject_h 00019 #define __itkNeuralNetworkObject_h 00020 00021 #include "itkDataObject.h" 00022 #include "itkLayerBase.h" 00023 #include "itkWeightSetBase.h" 00024 #include "itkLearningFunctionBase.h" 00025 00026 namespace itk 00027 { 00028 namespace Statistics 00029 { 00030 template<class TMeasurementVector, class TTargetVector > 00031 class NeuralNetworkObject : public DataObject 00032 { 00033 public: 00034 00035 typedef NeuralNetworkObject Self; 00036 typedef DataObject Superclass; 00037 typedef SmartPointer<Self> Pointer; 00038 typedef SmartPointer<const Self> ConstPointer; 00039 00040 itkTypeMacro(NeuralNetworkObject, DataObject); 00041 00042 typedef TMeasurementVector MeasurementVectorType; 00043 typedef typename MeasurementVectorType::ValueType ValueType; 00044 typedef Array<ValueType> NetworkOutputType; 00045 typedef TTargetVector TargetVectorType; 00046 00047 typedef LayerBase<TMeasurementVector, TTargetVector> LayerInterfaceType; 00048 00049 virtual NetworkOutputType GenerateOutput(TMeasurementVector samplevector)=0; 00050 00051 virtual void BackwardPropagate(NetworkOutputType errors) = 0; 00052 virtual void UpdateWeights(ValueType) = 0; 00053 00054 protected: 00055 00056 NeuralNetworkObject(); 00057 virtual ~NeuralNetworkObject(); 00058 00060 virtual void PrintSelf( std::ostream& os, Indent indent ) const; 00061 00062 ValueType m_LearningRate; 00063 00064 }; 00065 00066 } // end namespace Statistics 00067 } // end namespace itk 00068 00069 #ifndef ITK_MANUAL_INSTANTIATION 00070 #include "itkNeuralNetworkObject.txx" 00071 #endif 00072 00073 #endif 00074