Paradiseo-eo sources added
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<html><head><meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1">
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<title>EO: mse.h Source File</title>
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<!-- Generated by Doxygen 1.3.9.1 -->
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<a class="qindex" href="main.html">Main Page</a> | <a class="qindex" href="modules.html">Modules</a> | <a class="qindex" href="namespaces.html">Namespace List</a> | <a class="qindex" href="hierarchy.html">Class Hierarchy</a> | <a class="qindex" href="classes.html">Alphabetical List</a> | <a class="qindex" href="annotated.html">Class List</a> | <a class="qindex" href="files.html">File List</a> | <a class="qindex" href="namespacemembers.html">Namespace Members</a> | <a class="qindex" href="functions.html">Class Members</a> | <a class="qindex" href="pages.html">Related Pages</a> | <span class="search"><u>S</u>earch for <input class="search" type="text" name="query" value="" size="20" accesskey="s"/></span></form></div>
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<a class="el" href="dir_000020.html">app</a> / <a class="el" href="dir_000023.html">gprop</a></div>
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<h1>mse.h</h1><div class="fragment"><pre class="fragment">00001 <span class="comment">//-----------------------------------------------------------------------------</span>
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00002 <span class="comment">// mse.h</span>
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00003 <span class="comment">//-----------------------------------------------------------------------------</span>
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00004
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00005 <span class="preprocessor">#ifndef mse_h</span>
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00006 <span class="preprocessor"></span><span class="preprocessor">#define mse_h</span>
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00007 <span class="preprocessor"></span>
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00008 <span class="comment">//-----------------------------------------------------------------------------</span>
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00009
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00010 <span class="preprocessor">#include <qp.h></span> <span class="comment">// neuron layer net set</span>
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00011
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00012 <span class="comment">//-----------------------------------------------------------------------------</span>
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00013
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00014 <span class="keyword">namespace </span>mse
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00015 {
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00016 <span class="comment">//---------------------------------------------------------------------------</span>
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00017 <span class="comment">// useful typedefs</span>
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00018 <span class="comment">//---------------------------------------------------------------------------</span>
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00019
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00020 <span class="keyword">using</span> qp::real;
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00021 <span class="keyword">using</span> qp::vector;
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00022 <span class="keyword">using</span> qp::max_real;
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00023 <span class="keyword">using</span> qp::min_real;
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00024 <span class="keyword">using</span> qp::set;
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00025 <span class="keyword">using</span> qp::neuron;
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00026 <span class="keyword">using</span> qp::layer;
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00027
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00028 <span class="comment">//---------------------------------------------------------------------------</span>
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00029 <span class="comment">// error</span>
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00030 <span class="comment">//---------------------------------------------------------------------------</span>
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00031
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00032 real error(<span class="keyword">const</span> mlp::net& net, <span class="keyword">const</span> set& ts)
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00033 {
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00034 real error_ = 0.0;
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00035
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00036 <span class="keywordflow">for</span> (set::const_iterator s = ts.begin(); s != ts.end(); ++s)
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00037 {
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00038 vector out = net(s->input);
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00039
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00040 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i = 0; i < out.size(); ++i)
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00041 {
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00042 real diff = s->output[i] - out[i];
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00043 error_ += diff * diff;
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00044 }
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00045 }
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00046
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00047 <span class="keywordflow">return</span> error_ / ts.size();
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00048 }
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00049 <span class="comment">//-------------------------------------------------------------------------</span>
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00050 <span class="comment">// mse</span>
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00051 <span class="comment">//-------------------------------------------------------------------------</span>
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00052
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00053 <span class="keyword">class </span>net: <span class="keyword">public</span> qp::net
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00054 {
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00055 <span class="keyword">public</span>:
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00056 net(mlp::net& n): qp::net(n) {}
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00057
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00058 real error(<span class="keyword">const</span> set& ts)
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00059 {
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00060 real error_ = 0;
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00061
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00062 <span class="keywordflow">for</span> (set::const_iterator s = ts.begin(); s != ts.end(); ++s)
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00063 {
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00064 forward(s->input);
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00065 error_ += backward(s->input, s->output);
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00066 }
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00067 error_ /= ts.size();
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00068
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00069 <span class="keywordflow">return</span> error_;
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00070 }
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00071
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00072 <span class="keyword">private</span>:
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00073 real backward(<span class="keyword">const</span> vector& input, <span class="keyword">const</span> vector& output)
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00074 {
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00075 reverse_iterator current_layer = rbegin();
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00076 reverse_iterator backward_layer = current_layer + 1;
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00077 real error_ = 0;
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00078
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00079 <span class="comment">// output layer</span>
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00080 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> j = 0; j < current_layer->size(); ++j)
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00081 {
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00082 neuron& n = (*current_layer)[j];
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00083
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00084 real diff = output[j] - n.out;
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00085 n.ndelta += n.delta = diff * n.out * (1.0 - n.out);
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00086
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00087 <span class="keywordflow">if</span> (size() == 1) <span class="comment">// monolayer</span>
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00088 n.dxo += n.delta * input;
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00089 <span class="keywordflow">else</span> <span class="comment">// multilayer</span>
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00090 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k < n.dxo.size(); ++k)
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00091 n.dxo[k] += n.delta * (*backward_layer)[k].out;
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00092
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00093 error_ += diff * diff;
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00094 }
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00095
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00096 <span class="comment">// hidden layers</span>
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00097 <span class="keywordflow">while</span> (++current_layer != rend())
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00098 {
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00099 reverse_iterator forward_layer = current_layer - 1;
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00100 reverse_iterator backward_layer = current_layer + 1;
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00101
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00102 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> j = 0; j < current_layer->size(); ++j)
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00103 {
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00104
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00105 neuron& n = (*current_layer)[j];
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00106 real sum = 0;
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00107
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00108 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k < forward_layer->size(); ++k)
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00109 {
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00110 neuron& nf = (*forward_layer)[k];
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00111 sum += nf.delta * (nf.n->weight[j] + nf.dweight1[j]);
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00112 }
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00113
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00114 n.delta = n.out * (1.0 - n.out) * sum;
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00115 n.ndelta += n.delta;
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00116
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00117
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00118 <span class="keywordflow">if</span> (backward_layer == rend()) <span class="comment">// first hidden layer</span>
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00119 n.dxo += n.delta * input;
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00120 <span class="keywordflow">else</span> <span class="comment">// rest of hidden layers</span>
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00121 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k < n.dxo.size(); ++k)
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00122 n.dxo[k] += n.delta * (*backward_layer)[k].out;
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00123 }
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00124 }
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00125
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00126 <span class="keywordflow">return</span> error_;
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00127 }
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00128 };
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00129
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00130 <span class="comment">//---------------------------------------------------------------------------</span>
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00131
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00132 } <span class="comment">// namespace mse</span>
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00133
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00134 <span class="comment">//-----------------------------------------------------------------------------</span>
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00135
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00136 <span class="preprocessor">#endif // mse_h</span>
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00137 <span class="preprocessor"></span>
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00138 <span class="comment">// Local Variables: </span>
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00139 <span class="comment">// mode:C++ </span>
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00140 <span class="comment">// End:</span>
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</pre></div><hr size="1"><address style="align: right;"><small>Generated on Thu Oct 19 05:06:41 2006 for EO by
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<a href="http://www.doxygen.org/index.html">
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<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.3.9.1 </small></address>
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