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<h1>itkMultilayerNeuralNetworkBase.h</h1><a href="itkMultilayerNeuralNetworkBase_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/*=========================================================================</span>
<a name="l00002"></a>00002 <span class="comment"></span>
<a name="l00003"></a>00003 <span class="comment"> Program: Insight Segmentation & Registration Toolkit</span>
<a name="l00004"></a>00004 <span class="comment"> Module: $RCSfile: itkMultilayerNeuralNetworkBase.h,v $</span>
<a name="l00005"></a>00005 <span class="comment"> Language: C++</span>
<a name="l00006"></a>00006 <span class="comment"> Date: $Date: 2009-01-28 21:04:59 $</span>
<a name="l00007"></a>00007 <span class="comment"> Version: $Revision: 1.11 $</span>
<a name="l00008"></a>00008 <span class="comment"></span>
<a name="l00009"></a>00009 <span class="comment"> Copyright (c) Insight Software Consortium. All rights reserved.</span>
<a name="l00010"></a>00010 <span class="comment"> See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.</span>
<a name="l00011"></a>00011 <span class="comment"></span>
<a name="l00012"></a>00012 <span class="comment"> This software is distributed WITHOUT ANY WARRANTY; without even</span>
<a name="l00013"></a>00013 <span class="comment"> the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR</span>
<a name="l00014"></a>00014 <span class="comment"> PURPOSE. See the above copyright notices for more information.</span>
<a name="l00015"></a>00015 <span class="comment"></span>
<a name="l00016"></a>00016 <span class="comment">=========================================================================*/</span>
<a name="l00017"></a>00017 <span class="preprocessor">#ifndef __itkMultilayerNeuralNetworkBase_h</span>
<a name="l00018"></a>00018 <span class="preprocessor"></span><span class="preprocessor">#define __itkMultilayerNeuralNetworkBase_h</span>
<a name="l00019"></a>00019 <span class="preprocessor"></span>
<a name="l00020"></a>00020 <span class="preprocessor">#include "<a class="code" href="itkNeuralNetworkObject_8h.html">itkNeuralNetworkObject.h</a>"</span>
<a name="l00021"></a>00021 <span class="preprocessor">#include "<a class="code" href="itkLayerBase_8h.html">itkLayerBase.h</a>"</span>
<a name="l00022"></a>00022
<a name="l00023"></a>00023 <span class="keyword">namespace </span>itk
<a name="l00024"></a>00024 {
<a name="l00025"></a>00025 <span class="keyword">namespace </span>Statistics
<a name="l00026"></a>00026 {
<a name="l00027"></a>00027
<a name="l00028"></a>00028 <span class="keyword">template</span><<span class="keyword">class</span> TMeasurementVector, <span class="keyword">class</span> TTargetVector,<span class="keyword">class</span> TLearningLayer=LayerBase<TMeasurementVector, TTargetVector> >
<a name="l00029"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html">00029</a> <span class="keyword">class </span><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html">MultilayerNeuralNetworkBase</a> : <span class="keyword">public</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html">NeuralNetworkObject</a><TMeasurementVector, TTargetVector>
<a name="l00030"></a>00030 {
<a name="l00031"></a>00031 <span class="keyword">public</span>:
<a name="l00032"></a>00032
<a name="l00033"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#9f4be27afd113a94ea67bfb6dda092e4">00033</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html">MultilayerNeuralNetworkBase</a> <a class="code" href="classitk_1_1DataObject.html" title="Base class for all data objects in ITK.">Self</a>;
<a name="l00034"></a>00034 <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html">NeuralNetworkObject<TMeasurementVector, TTargetVector></a>
<a name="l00035"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#5035e1715daa6cd8672ba1e2bb7c6fcf">00035</a> <a class="code" href="classitk_1_1Object.html" title="Base class for most itk classes.">Superclass</a>;
<a name="l00036"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#471ba23d9b8d202a8b33f225a3da73a2">00036</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<Self></a> <a class="code" href="classitk_1_1SmartPointer.html">Pointer</a>;
<a name="l00037"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#a25d40411759c8f5777b099d925b0946">00037</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<const Self></a> <a class="code" href="classitk_1_1SmartPointer.html">ConstPointer</a>;
<a name="l00038"></a>00038
<a name="l00039"></a>00039 <a class="code" href="itkMacro_8h.html#574c1f86661d409dd32c742307a0e96a">itkTypeMacro</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html">MultilayerNeuralNetworkBase</a>, <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html">NeuralNetworkObject</a>);
<a name="l00040"></a>00040
<a name="l00042"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#41d8c9e0c311f43229b889f3129736ad">00042</a> <a class="code" href="itkMacro_8h.html#0fdc15685afa271857c57e7cd482f30c">itkNewMacro</a>( <a class="code" href="classitk_1_1DataObject.html" title="Base class for all data objects in ITK.">Self</a> );
<a name="l00043"></a>00043
<a name="l00044"></a>00044 <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html#600e5b836812c32ec151414af68196f5">Superclass::ValueType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#41d8c9e0c311f43229b889f3129736ad">ValueType</a>;
<a name="l00045"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#e21a201f28f7224c87906dc5ecee5891">00045</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html#2b3b5441895b797c976cd8b0b80bfaf6">Superclass::MeasurementVectorType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#e21a201f28f7224c87906dc5ecee5891">MeasurementVectorType</a>;
<a name="l00046"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#615754330da593c1b15d3db9891efd1c">00046</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html#332a9c1e2d7b3c1a9373bd21b1010093">Superclass::TargetVectorType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#615754330da593c1b15d3db9891efd1c">TargetVectorType</a>;
<a name="l00047"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7a58c72f27b31b0a88d79abf00c4c1bd">00047</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html#bf4e9e44256b1bdb52fa301de5cb76f9">Superclass::NetworkOutputType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7a58c72f27b31b0a88d79abf00c4c1bd">NetworkOutputType</a>;
<a name="l00048"></a>00048
<a name="l00049"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#58a427580e3a54510babd8d0ec7885f7">00049</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Statistics_1_1NeuralNetworkObject.html#7cb503d80f7df3c3c5ad9661524f2fe8">Superclass::LayerInterfaceType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#58a427580e3a54510babd8d0ec7885f7">LayerInterfaceType</a>;
<a name="l00050"></a>00050
<a name="l00051"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#5e4d0981083c069a6fc714702c4f0e7b">00051</a> <span class="keyword">typedef</span> TLearningLayer <a class="code" href="classitk_1_1Statistics_1_1BackPropagationLayer.html">LearningLayerType</a>;
<a name="l00052"></a>00052 <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1LearningFunctionBase.html">LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector></a>
<a name="l00053"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#53963935e1d08a2c19b98c79a9fc8cc8">00053</a> <a class="code" href="classitk_1_1Statistics_1_1LearningFunctionBase.html">LearningFunctionInterfaceType</a>;
<a name="l00054"></a>00054
<a name="l00055"></a>00055 <span class="keyword">typedef</span> std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer>
<a name="l00056"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#dce8f1865d9d992e55ab9fc93a185734">00056</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#dce8f1865d9d992e55ab9fc93a185734">WeightVectorType</a>;
<a name="l00057"></a>00057 <span class="keyword">typedef</span> std::vector<typename LayerInterfaceType::Pointer>
<a name="l00058"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#13aa6f4909d416548fce8b63a6a6bae2">00058</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#13aa6f4909d416548fce8b63a6a6bae2">LayerVectorType</a>;
<a name="l00059"></a>00059
<a name="l00060"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#ccb765012afbcd4cd8489856111e5896">00060</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1TransferFunctionBase.html">TransferFunctionBase<ValueType></a> <a class="code" href="classitk_1_1Statistics_1_1TransferFunctionBase.html">TransferFunctionInterfaceType</a>;
<a name="l00061"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#8149c15bef89734ea6da7a00f808f2af">00061</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Statistics_1_1InputFunctionBase.html">InputFunctionBase<ValueType*, ValueType></a> <a class="code" href="classitk_1_1Statistics_1_1InputFunctionBase.html">InputFunctionInterfaceType</a>;
<a name="l00062"></a>00062
<a name="l00063"></a>00063 <span class="comment">//#define __USE_OLD_INTERFACE Comment out to ensure that new interface works</span>
<a name="l00064"></a>00064 <span class="preprocessor">#ifdef __USE_OLD_INTERFACE</span>
<a name="l00065"></a>00065 <span class="preprocessor"></span> <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(NumOfLayers, <span class="keywordtype">int</span>);
<a name="l00066"></a>00066 <a class="code" href="itkMacro_8h.html#7d989c13a1a213168db99ae0f84185d4">itkGetConstReferenceMacro</a>(NumOfLayers, <span class="keywordtype">int</span>);
<a name="l00067"></a>00067
<a name="l00068"></a>00068 <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(NumOfWeightSets, <span class="keywordtype">int</span>);
<a name="l00069"></a>00069 <a class="code" href="itkMacro_8h.html#7d989c13a1a213168db99ae0f84185d4">itkGetConstReferenceMacro</a>(NumOfWeightSets, <span class="keywordtype">int</span>);
<a name="l00070"></a>00070 <span class="preprocessor">#else</span>
<a name="l00071"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#13e5e2398861d4b294ef54e8b19d5c3c">00071</a> <span class="preprocessor"></span> <span class="keywordtype">int</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#13e5e2398861d4b294ef54e8b19d5c3c">GetNumOfLayers</a>(<span class="keywordtype">void</span>)<span class="keyword"> const</span>
<a name="l00072"></a>00072 <span class="keyword"> </span>{
<a name="l00073"></a>00073 <span class="keywordflow">return</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#e63872501a7f15d5642d5015409d4efc">m_Layers</a>.size();
<a name="l00074"></a>00074 }
<a name="l00075"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#c1a0bbe99f84b6a30b6727ca0cf901bd">00075</a> <span class="keywordtype">int</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#c1a0bbe99f84b6a30b6727ca0cf901bd">GetNumOfWeightSets</a>(<span class="keywordtype">void</span>)<span class="keyword"> const</span>
<a name="l00076"></a>00076 <span class="keyword"> </span>{
<a name="l00077"></a>00077 <span class="keywordflow">return</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#a17e7e774de5b8ccbf0e975c167c8ed5">m_Weights</a>.size();
<a name="l00078"></a>00078 }
<a name="l00079"></a>00079
<a name="l00080"></a>00080 <span class="preprocessor">#endif</span>
<a name="l00081"></a>00081 <span class="preprocessor"></span>
<a name="l00082"></a>00082 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#8d454d9fe10b51dd4f82a6bd52483a07">AddLayer</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#58a427580e3a54510babd8d0ec7885f7">LayerInterfaceType</a> *);
<a name="l00083"></a>00083 <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#58a427580e3a54510babd8d0ec7885f7">LayerInterfaceType</a> * <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#4fc2ec64440b21119e46572cca72e54e">GetLayer</a>(<span class="keywordtype">int</span> layer_id);
<a name="l00084"></a>00084 <span class="keyword">const</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#58a427580e3a54510babd8d0ec7885f7">LayerInterfaceType</a> * <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#4fc2ec64440b21119e46572cca72e54e">GetLayer</a>(<span class="keywordtype">int</span> layer_id) <span class="keyword">const</span>;
<a name="l00085"></a>00085
<a name="l00086"></a>00086 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#25e0adeb15923b12402e01238df8b308">AddWeightSet</a>(<span class="keyword">typename</span> LayerInterfaceType::WeightSetInterfaceType*);
<a name="l00087"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#af89a83153fc03a02d2e11c552103ec8">00087</a> <span class="keyword">typename</span> LayerInterfaceType::WeightSetInterfaceType* <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#af89a83153fc03a02d2e11c552103ec8">GetWeightSet</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keywordtype">id</span>)
<a name="l00088"></a>00088 {
<a name="l00089"></a>00089 <span class="keywordflow">return</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#a17e7e774de5b8ccbf0e975c167c8ed5">m_Weights</a>[id].GetPointer();
<a name="l00090"></a>00090 }
<a name="l00091"></a>00091 <span class="preprocessor">#ifdef __USE_OLD_INTERFACE</span>
<a name="l00092"></a>00092 <span class="preprocessor"></span> <span class="keyword">const</span> <span class="keyword">typename</span> LayerInterfaceType::WeightSetInterfaceType* <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#af89a83153fc03a02d2e11c552103ec8">GetWeightSet</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keywordtype">id</span>) <span class="keyword">const</span>;
<a name="l00093"></a>00093 <span class="preprocessor">#endif</span>
<a name="l00094"></a>00094 <span class="preprocessor"></span>
<a name="l00095"></a>00095 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#f68c82542d9516681e9fe32fb07a88ea">SetLearningFunction</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#53963935e1d08a2c19b98c79a9fc8cc8">LearningFunctionInterfaceType</a>* f);
<a name="l00096"></a>00096
<a name="l00097"></a>00097 <span class="keyword">virtual</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7a58c72f27b31b0a88d79abf00c4c1bd">NetworkOutputType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#eafe2c6f7f62bace42ceb68859bc02aa">GenerateOutput</a>(TMeasurementVector samplevector);
<a name="l00098"></a>00098
<a name="l00099"></a>00099 <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#2fc9d7c99be10b514341980bfd417eac">BackwardPropagate</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7a58c72f27b31b0a88d79abf00c4c1bd">NetworkOutputType</a> errors);
<a name="l00100"></a>00100 <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#f89dbd6c4ea1845d5ac5a88f32ec5bdb">UpdateWeights</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#41d8c9e0c311f43229b889f3129736ad">ValueType</a>);
<a name="l00101"></a>00101
<a name="l00102"></a>00102 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#8093876243fd3d027863d20424a7c1a1">SetLearningRule</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#53963935e1d08a2c19b98c79a9fc8cc8">LearningFunctionInterfaceType</a>*);
<a name="l00103"></a>00103
<a name="l00104"></a>00104 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#629026ddcd94dbf1a185e109fe06b302">SetLearningRate</a>(<a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#41d8c9e0c311f43229b889f3129736ad">ValueType</a> learningrate);
<a name="l00105"></a>00105
<a name="l00106"></a>00106 <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#2926b8f94fccc46cc88908271ccded54">InitializeWeights</a>();
<a name="l00107"></a>00107
<a name="l00108"></a>00108 <span class="keyword">protected</span>:
<a name="l00109"></a>00109 <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#dd6f124b088471d4100f249348b06b6f">MultilayerNeuralNetworkBase</a>();
<a name="l00110"></a>00110 <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7775397de21367c5f445cd6af386b04d">~MultilayerNeuralNetworkBase</a>();
<a name="l00111"></a>00111
<a name="l00112"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#e63872501a7f15d5642d5015409d4efc">00112</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#13aa6f4909d416548fce8b63a6a6bae2">LayerVectorType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#e63872501a7f15d5642d5015409d4efc">m_Layers</a>;
<a name="l00113"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#a17e7e774de5b8ccbf0e975c167c8ed5">00113</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#dce8f1865d9d992e55ab9fc93a185734">WeightVectorType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#a17e7e774de5b8ccbf0e975c167c8ed5">m_Weights</a>;
<a name="l00114"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7db744516107c9ceecc9b8103967d4e1">00114</a> <span class="keyword">typename</span> <a class="code" href="classitk_1_1SmartPointer.html">LearningFunctionInterfaceType::Pointer</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#7db744516107c9ceecc9b8103967d4e1">m_LearningFunction</a>;
<a name="l00115"></a><a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#4231c2b06a42ebcdad926cd6dc4b3037">00115</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#41d8c9e0c311f43229b889f3129736ad">ValueType</a> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#4231c2b06a42ebcdad926cd6dc4b3037">m_LearningRate</a>;
<a name="l00116"></a>00116 <span class="comment">//#define __USE_OLD_INTERFACE Comment out to ensure that new interface works</span>
<a name="l00117"></a>00117 <span class="preprocessor">#ifdef __USE_OLD_INTERFACE</span>
<a name="l00118"></a>00118 <span class="preprocessor"></span> <span class="comment">//These are completely redundant variables that can be more reliably queried from</span>
<a name="l00119"></a>00119 <span class="comment">// m_Layers->size() and m_Weights->size();</span>
<a name="l00120"></a>00120 <span class="keywordtype">int</span> m_NumOfLayers;
<a name="l00121"></a>00121 <span class="keywordtype">int</span> m_NumOfWeightSets;
<a name="l00122"></a>00122 <span class="preprocessor">#endif</span>
<a name="l00123"></a>00123 <span class="preprocessor"></span>
<a name="l00124"></a>00124 <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classitk_1_1Statistics_1_1MultilayerNeuralNetworkBase.html#038b477198889e67c9838a99e07d4856">PrintSelf</a>( std::ostream& os, <a class="code" href="classitk_1_1Indent.html" title="Control indentation during Print() invocation.">Indent</a> indent ) <span class="keyword">const</span>;
<a name="l00125"></a>00125 };
<a name="l00126"></a>00126
<a name="l00127"></a>00127 } <span class="comment">// end namespace Statistics</span>
<a name="l00128"></a>00128 } <span class="comment">// end namespace itk</span>
<a name="l00129"></a>00129
<a name="l00130"></a>00130 <span class="preprocessor">#ifndef ITK_MANUAL_INSTANTIATION</span>
<a name="l00131"></a>00131 <span class="preprocessor"></span><span class="preprocessor">#include "itkMultilayerNeuralNetworkBase.txx"</span>
<a name="l00132"></a>00132 <span class="preprocessor">#endif</span>
<a name="l00133"></a>00133 <span class="preprocessor"></span>
<a name="l00134"></a>00134 <span class="preprocessor">#endif</span>
<a name="l00135"></a>00135 <span class="preprocessor"></span>
</pre></div></div>
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