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diff --git a/Doc/html/class_neurone.html b/Doc/html/class_neurone.html new file mode 100644 index 0000000..32a1361 --- /dev/null +++ b/Doc/html/class_neurone.html @@ -0,0 +1,572 @@ +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.11"/> +<title>Implémentation de l'algorithme de rétropagation sur un réseau neuronal: Neurone Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" 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</td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.11 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> + <div id="navrow1" class="tabs"> + <ul class="tablist"> + <li><a href="index.html"><span>Main Page</span></a></li> + <li class="current"><a href="annotated.html"><span>Classes</span></a></li> + <li><a href="files.html"><span>Files</span></a></li> + <li> + <div id="MSearchBox" class="MSearchBoxInactive"> + <span class="left"> + <img id="MSearchSelect" src="search/mag_sel.png" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + alt=""/> + <input type="text" id="MSearchField" value="Search" accesskey="S" + onfocus="searchBox.OnSearchFieldFocus(true)" + onblur="searchBox.OnSearchFieldFocus(false)" + onkeyup="searchBox.OnSearchFieldChange(event)"/> + </span><span class="right"> + <a id="MSearchClose" 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id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="#pro-attribs">Protected Attributes</a> | +<a href="class_neurone-members.html">List of all members</a> </div> + <div class="headertitle"> +<div class="title">Neurone Class Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="dynheader"> +Inheritance diagram for Neurone:</div> +<div class="dyncontent"> +<div class="center"><img src="class_neurone__inherit__graph.png" border="0" usemap="#_neurone_inherit__map" alt="Inheritance graph"/></div> +<map name="_neurone_inherit__map" id="_neurone_inherit__map"> +<area shape="rect" id="node2" href="class_neurone_b.html" title="NeuroneB" alt="" coords="5,80,85,107"/> +</map> +<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> +<div class="dynheader"> +Collaboration diagram for Neurone:</div> +<div class="dyncontent"> +<div class="center"><img src="class_neurone__coll__graph.png" border="0" usemap="#_neurone_coll__map" alt="Collaboration graph"/></div> +<map name="_neurone_coll__map" id="_neurone_coll__map"> +<area shape="rect" id="node2" href="class_fonction_activation.html" title="FonctionActivation" alt="" coords="5,5,136,32"/> +</map> +<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:aaf4eaa15b62d4767ae4f523eb8b13b4a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#aaf4eaa15b62d4767ae4f523eb8b13b4a">Neurone</a> ()</td></tr> +<tr class="separator:aaf4eaa15b62d4767ae4f523eb8b13b4a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3a392864ec0bf3ddc3a227c1233d2d15"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a3a392864ec0bf3ddc3a227c1233d2d15">Neurone</a> (int taille, FonctionActivation::EnumFonctionActivation fct)</td></tr> +<tr class="separator:a3a392864ec0bf3ddc3a227c1233d2d15"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a867075d177154c04f0616ba7d165ab5e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a867075d177154c04f0616ba7d165ab5e">Neurone</a> (int taille, std::vector< double > *x, FonctionActivation::EnumFonctionActivation fct)</td></tr> +<tr class="separator:a867075d177154c04f0616ba7d165ab5e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aabf9f1260f6ee90497b1edd96d698152"><td class="memItemLeft" align="right" valign="top">virtual double </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#aabf9f1260f6ee90497b1edd96d698152">fw_sum</a> (std::vector< double > x) const </td></tr> +<tr class="separator:aabf9f1260f6ee90497b1edd96d698152"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec9263293bad3fce3702e66462fde1fb"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#aec9263293bad3fce3702e66462fde1fb">fw_activate</a> (double sum, double k) const </td></tr> +<tr class="separator:aec9263293bad3fce3702e66462fde1fb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a86ae71dc89e5ee954e28f97dc3832d1a"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a86ae71dc89e5ee954e28f97dc3832d1a">derive_activate</a> (double sum, double k) const </td></tr> +<tr class="separator:a86ae71dc89e5ee954e28f97dc3832d1a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ec6e62bf458c8fcf201e135d6ecdfab"><td class="memItemLeft" align="right" valign="top">virtual double </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a9ec6e62bf458c8fcf201e135d6ecdfab">fire</a> (std::vector< double > x, double k) const </td></tr> +<tr class="separator:a9ec6e62bf458c8fcf201e135d6ecdfab"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad649e6c655e70db090cfdc5ad4670e34"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#ad649e6c655e70db090cfdc5ad4670e34">learn</a> (std::vector< double > x, double o, double k, double mu)</td></tr> +<tr class="separator:ad649e6c655e70db090cfdc5ad4670e34"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a21cca59967aa7a5cde3580d131d02526"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a21cca59967aa7a5cde3580d131d02526">printWeight</a> ()</td></tr> +<tr class="separator:a21cca59967aa7a5cde3580d131d02526"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2afac406368d1b2dbeb407c2da5ec3e4"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a2afac406368d1b2dbeb407c2da5ec3e4">aleaWeights</a> ()</td></tr> +<tr class="separator:a2afac406368d1b2dbeb407c2da5ec3e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad35958a875fba519d8ccc4984302c376"><td class="memItemLeft" align="right" valign="top">std::vector< double > * </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#ad35958a875fba519d8ccc4984302c376">getWeight</a> ()</td></tr> +<tr class="separator:ad35958a875fba519d8ccc4984302c376"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a276f60498de090878d0b2e8e05f4acc0"><td class="memItemLeft" align="right" valign="top">virtual int </td><td class="memItemRight" valign="bottom"><a class="el" href="class_neurone.html#a276f60498de090878d0b2e8e05f4acc0">getNbPoids</a> ()</td></tr> +<tr class="separator:a276f60498de090878d0b2e8e05f4acc0"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a> +Protected Attributes</h2></td></tr> +<tr class="memitem:a7a030ab5a110af5b645d7ca5218ca359"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a7a030ab5a110af5b645d7ca5218ca359"></a> +std::vector< double > * </td><td class="memItemRight" valign="bottom"><b>w</b></td></tr> +<tr class="separator:a7a030ab5a110af5b645d7ca5218ca359"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2a6a3fcb4d1a6f38914641b006bb156d"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a2a6a3fcb4d1a6f38914641b006bb156d"></a> +int </td><td class="memItemRight" valign="bottom"><b>n</b></td></tr> +<tr class="separator:a2a6a3fcb4d1a6f38914641b006bb156d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa6ba92d879763af5f50536362b8e00de"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="aa6ba92d879763af5f50536362b8e00de"></a> +<a class="el" href="class_fonction_activation.html">FonctionActivation</a> </td><td class="memItemRight" valign="bottom"><b>fonctionActivation</b></td></tr> +<tr class="separator:aa6ba92d879763af5f50536362b8e00de"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a class="anchor" id="aaf4eaa15b62d4767ae4f523eb8b13b4a"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">Neurone::Neurone </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> +<p>Constructeur par defauts <a class="el" href="class_neurone.html#aaf4eaa15b62d4767ae4f523eb8b13b4a">Neurone::Neurone</a> </p> + +</div> +</div> +<a class="anchor" id="a3a392864ec0bf3ddc3a227c1233d2d15"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">Neurone::Neurone </td> + <td>(</td> + <td class="paramtype">int </td> + <td class="paramname"><em>n</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">FonctionActivation::EnumFonctionActivation </td> + <td class="paramname"><em>fct</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> +<p>Constructeur par nombre d'entrées <a class="el" href="class_neurone.html#aaf4eaa15b62d4767ae4f523eb8b13b4a">Neurone::Neurone</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">n</td><td>Nombre d'entrées </td></tr> + <tr><td class="paramname">n</td><td>Fonction d'Activation </td></tr> + </table> + </dd> +</dl> + +</div> +</div> +<a class="anchor" id="a867075d177154c04f0616ba7d165ab5e"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">Neurone::Neurone </td> + <td>(</td> + <td class="paramtype">int </td> + <td class="paramname"><em>n</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< double > * </td> + <td class="paramname"><em>x</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">FonctionActivation::EnumFonctionActivation </td> + <td class="paramname"><em>fct</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> +<p>Constructeur par arguments <a class="el" href="class_neurone.html#aaf4eaa15b62d4767ae4f523eb8b13b4a">Neurone::Neurone</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">taille</td><td>Nombre d'entrées </td></tr> + <tr><td class="paramname">x</td><td>Vecteur de poids </td></tr> + </table> + </dd> +</dl> + +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a class="anchor" id="a2afac406368d1b2dbeb407c2da5ec3e4"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Neurone::aleaWeights </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p>Méthode de génération de poids aléatoire selon une loi normale centrée réduite <a class="el" href="class_neurone.html#a2afac406368d1b2dbeb407c2da5ec3e4">Neurone::aleaWeights</a> </p> + +<p>Reimplemented in <a class="el" href="class_neurone_b.html#af00d23b3078f5118329dc4d53c1a77a6">NeuroneB</a>.</p> + +</div> +</div> +<a class="anchor" id="a86ae71dc89e5ee954e28f97dc3832d1a"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">double Neurone::derive_activate </td> + <td>(</td> + <td class="paramtype">double </td> + <td class="paramname"><em>sum</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>k</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> +<p>Méthode de dérivation <a class="el" href="class_neurone.html#a86ae71dc89e5ee954e28f97dc3832d1a">Neurone::derive_activate</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">sum</td><td>Valeur de la somme du vecteur (cf <a class="el" href="class_neurone.html#aabf9f1260f6ee90497b1edd96d698152">Neurone::fw_sum</a>) </td></tr> + <tr><td class="paramname">k</td><td>Valeur du coefficient de sigmoid k </td></tr> + </table> + </dd> +</dl> +<dl class="section return"><dt>Returns</dt><dd>Valeur de dérivation </dd></dl> + +</div> +</div> +<a class="anchor" id="a9ec6e62bf458c8fcf201e135d6ecdfab"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">double Neurone::fire </td> + <td>(</td> + <td class="paramtype">std::vector< double > </td> + <td class="paramname"><em>in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>k</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p>Méthode de propagation en avant <a class="el" href="class_neurone.html#a9ec6e62bf458c8fcf201e135d6ecdfab">Neurone::fire</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">in</td><td>Vecteur d'entrées </td></tr> + <tr><td class="paramname">k</td><td>Coefficient de sigmoid k </td></tr> + </table> + </dd> +</dl> +<dl class="section return"><dt>Returns</dt><dd>Valeur d'activation </dd></dl> + +</div> +</div> +<a class="anchor" id="aec9263293bad3fce3702e66462fde1fb"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">double Neurone::fw_activate </td> + <td>(</td> + <td class="paramtype">double </td> + <td class="paramname"><em>sum</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>k</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> +<p>Méthode d'activation <a class="el" href="class_neurone.html#aec9263293bad3fce3702e66462fde1fb">Neurone::fw_activate</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">sum</td><td>Valeur de la somme du vecteur (cf <a class="el" href="class_neurone.html#aabf9f1260f6ee90497b1edd96d698152">Neurone::fw_sum</a>) </td></tr> + <tr><td class="paramname">k</td><td>Valeur du biais </td></tr> + </table> + </dd> +</dl> +<dl class="section return"><dt>Returns</dt><dd>Valeur d'activation </dd></dl> + +</div> +</div> +<a class="anchor" id="aabf9f1260f6ee90497b1edd96d698152"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">double Neurone::fw_sum </td> + <td>(</td> + <td class="paramtype">std::vector< double > </td> + <td class="paramname"><em>x</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p>Méthode de somme des valeurs du vecteur <a class="el" href="class_neurone.html#aabf9f1260f6ee90497b1edd96d698152">Neurone::fw_sum</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">x</td><td>Vecteur </td></tr> + </table> + </dd> +</dl> +<dl class="section return"><dt>Returns</dt><dd>Somme </dd></dl> + +<p>Reimplemented in <a class="el" href="class_neurone_b.html#ae4f210b6b5881a739c3d6aafdc498fe2">NeuroneB</a>.</p> + +</div> +</div> +<a class="anchor" id="a276f60498de090878d0b2e8e05f4acc0"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">int Neurone::getNbPoids </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p><a class="el" href="class_neurone.html#a276f60498de090878d0b2e8e05f4acc0">Neurone::getNbPoids</a> </p><dl class="section return"><dt>Returns</dt><dd>Nombre de poids </dd></dl> + +<p>Reimplemented in <a class="el" href="class_neurone_b.html#ad406a05993ed1a7eba6dfbc0f8908716">NeuroneB</a>.</p> + +</div> +</div> +<a class="anchor" id="ad35958a875fba519d8ccc4984302c376"></a> +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector< double > * Neurone::getWeight </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> +<p><a class="el" href="class_neurone.html#ad35958a875fba519d8ccc4984302c376">Neurone::getWeight</a> </p><dl class="section return"><dt>Returns</dt><dd>Vecteur de poids </dd></dl> + +</div> +</div> +<a class="anchor" id="ad649e6c655e70db090cfdc5ad4670e34"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Neurone::learn </td> + <td>(</td> + <td class="paramtype">std::vector< double > </td> + <td class="paramname"><em>x</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>o</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>k</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">double </td> + <td class="paramname"><em>mu</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p>Méthode d'apprentissage (cf <a class="el" href="class_neurone.html#aabf9f1260f6ee90497b1edd96d698152">Neurone::fw_sum</a>, cf <a class="el" href="class_neurone.html#aec9263293bad3fce3702e66462fde1fb">Neurone::fw_activate</a>, cf <a class="el" href="class_neurone.html#a86ae71dc89e5ee954e28f97dc3832d1a">Neurone::derive_activate</a>) <a class="el" href="class_neurone.html#ad649e6c655e70db090cfdc5ad4670e34">Neurone::learn</a> </p><dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">x</td><td>Vecteur de poids </td></tr> + <tr><td class="paramname">o</td><td>Valeur attendue </td></tr> + <tr><td class="paramname">k</td><td>Valeur de l'hyperparamètre </td></tr> + <tr><td class="paramname">mu</td><td>Taux d'apprentissage | Learning rate </td></tr> + </table> + </dd> +</dl> + +<p>Reimplemented in <a class="el" href="class_neurone_b.html#a863968dd758150552330f8cdd33fe717">NeuroneB</a>.</p> + +</div> +</div> +<a class="anchor" id="a21cca59967aa7a5cde3580d131d02526"></a> +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void Neurone::printWeight </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<p>Affichage des poids <a class="el" href="class_neurone.html#a21cca59967aa7a5cde3580d131d02526">Neurone::printWeight</a> </p> + +<p>Reimplemented in <a class="el" href="class_neurone_b.html#addc614b9370d832cbb67ef080f277528">NeuroneB</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>Neurone/<a class="el" href="_neurone_8h_source.html">Neurone.h</a></li> +<li>Neurone/Neurone.cpp</li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="class_neurone.html">Neurone</a></li> + <li class="footer">Generated by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li> + </ul> +</div> +</body> +</html> |