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<h1>mse.h</h1><div class="fragment"><pre class="fragment">00001 <span class="comment">//-----------------------------------------------------------------------------</span>
00002 <span class="comment">// mse.h</span>
00003 <span class="comment">//-----------------------------------------------------------------------------</span>
00004
00005 <span class="preprocessor">#ifndef mse_h</span>
00006 <span class="preprocessor"></span><span class="preprocessor">#define mse_h</span>
00007 <span class="preprocessor"></span>
00008 <span class="comment">//-----------------------------------------------------------------------------</span>
00009
00010 <span class="preprocessor">#include &lt;qp.h&gt;</span> <span class="comment">// neuron layer net set</span>
00011
00012 <span class="comment">//-----------------------------------------------------------------------------</span>
00013
00014 <span class="keyword">namespace </span>mse
00015 {
00016 <span class="comment">//---------------------------------------------------------------------------</span>
00017 <span class="comment">// useful typedefs</span>
00018 <span class="comment">//---------------------------------------------------------------------------</span>
00019
00020 <span class="keyword">using</span> qp::real;
00021 <span class="keyword">using</span> qp::vector;
00022 <span class="keyword">using</span> qp::max_real;
00023 <span class="keyword">using</span> qp::min_real;
00024 <span class="keyword">using</span> qp::set;
00025 <span class="keyword">using</span> qp::neuron;
00026 <span class="keyword">using</span> qp::layer;
00027
00028 <span class="comment">//---------------------------------------------------------------------------</span>
00029 <span class="comment">// error</span>
00030 <span class="comment">//---------------------------------------------------------------------------</span>
00031
00032 real error(<span class="keyword">const</span> mlp::net&amp; net, <span class="keyword">const</span> set&amp; ts)
00033 {
00034 real error_ = 0.0;
00035
00036 <span class="keywordflow">for</span> (set::const_iterator s = ts.begin(); s != ts.end(); ++s)
00037 {
00038 vector out = net(s-&gt;input);
00039
00040 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i = 0; i &lt; out.size(); ++i)
00041 {
00042 real diff = s-&gt;output[i] - out[i];
00043 error_ += diff * diff;
00044 }
00045 }
00046
00047 <span class="keywordflow">return</span> error_ / ts.size();
00048 }
00049 <span class="comment">//-------------------------------------------------------------------------</span>
00050 <span class="comment">// mse</span>
00051 <span class="comment">//-------------------------------------------------------------------------</span>
00052
00053 <span class="keyword">class </span>net: <span class="keyword">public</span> qp::net
00054 {
00055 <span class="keyword">public</span>:
00056 net(mlp::net&amp; n): qp::net(n) {}
00057
00058 real error(<span class="keyword">const</span> set&amp; ts)
00059 {
00060 real error_ = 0;
00061
00062 <span class="keywordflow">for</span> (set::const_iterator s = ts.begin(); s != ts.end(); ++s)
00063 {
00064 forward(s-&gt;input);
00065 error_ += backward(s-&gt;input, s-&gt;output);
00066 }
00067 error_ /= ts.size();
00068
00069 <span class="keywordflow">return</span> error_;
00070 }
00071
00072 <span class="keyword">private</span>:
00073 real backward(<span class="keyword">const</span> vector&amp; input, <span class="keyword">const</span> vector&amp; output)
00074 {
00075 reverse_iterator current_layer = rbegin();
00076 reverse_iterator backward_layer = current_layer + 1;
00077 real error_ = 0;
00078
00079 <span class="comment">// output layer</span>
00080 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> j = 0; j &lt; current_layer-&gt;size(); ++j)
00081 {
00082 neuron&amp; n = (*current_layer)[j];
00083
00084 real diff = output[j] - n.out;
00085 n.ndelta += n.delta = diff * n.out * (1.0 - n.out);
00086
00087 <span class="keywordflow">if</span> (size() == 1) <span class="comment">// monolayer</span>
00088 n.dxo += n.delta * input;
00089 <span class="keywordflow">else</span> <span class="comment">// multilayer</span>
00090 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k &lt; n.dxo.size(); ++k)
00091 n.dxo[k] += n.delta * (*backward_layer)[k].out;
00092
00093 error_ += diff * diff;
00094 }
00095
00096 <span class="comment">// hidden layers</span>
00097 <span class="keywordflow">while</span> (++current_layer != rend())
00098 {
00099 reverse_iterator forward_layer = current_layer - 1;
00100 reverse_iterator backward_layer = current_layer + 1;
00101
00102 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> j = 0; j &lt; current_layer-&gt;size(); ++j)
00103 {
00104
00105 neuron&amp; n = (*current_layer)[j];
00106 real sum = 0;
00107
00108 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k &lt; forward_layer-&gt;size(); ++k)
00109 {
00110 neuron&amp; nf = (*forward_layer)[k];
00111 sum += nf.delta * (nf.n-&gt;weight[j] + nf.dweight1[j]);
00112 }
00113
00114 n.delta = n.out * (1.0 - n.out) * sum;
00115 n.ndelta += n.delta;
00116
00117
00118 <span class="keywordflow">if</span> (backward_layer == rend()) <span class="comment">// first hidden layer</span>
00119 n.dxo += n.delta * input;
00120 <span class="keywordflow">else</span> <span class="comment">// rest of hidden layers</span>
00121 <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> k = 0; k &lt; n.dxo.size(); ++k)
00122 n.dxo[k] += n.delta * (*backward_layer)[k].out;
00123 }
00124 }
00125
00126 <span class="keywordflow">return</span> error_;
00127 }
00128 };
00129
00130 <span class="comment">//---------------------------------------------------------------------------</span>
00131
00132 } <span class="comment">// namespace mse</span>
00133
00134 <span class="comment">//-----------------------------------------------------------------------------</span>
00135
00136 <span class="preprocessor">#endif // mse_h</span>
00137 <span class="preprocessor"></span>
00138 <span class="comment">// Local Variables: </span>
00139 <span class="comment">// mode:C++ </span>
00140 <span class="comment">// End:</span>
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