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php-manual-en-5.5.7-1.mga4.noarch.rpm

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  <title>Scales the inputs and outputs in the training data to the specified range</title>

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</div><hr /><div id="function.fann-scale-train-data" class="refentry">
 <div class="refnamediv">
  <h1 class="refname">fann_scale_train_data</h1>
  <p class="verinfo">(PECL fann &gt;= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_scale_train_data</span> &mdash; <span class="dc-title">Scales the inputs and outputs in the training data to the specified range</span></p>

 </div>

 <div class="refsect1 description" id="refsect1-function.fann-scale-train-data-description">
  <h3 class="title">Description</h3>
  <div class="methodsynopsis dc-description">
   <span class="type">bool</span> <span class="methodname"><strong>fann_scale_train_data</strong></span>
    ( <span class="methodparam"><span class="type">resource</span> <code class="parameter">$train_data</code></span>
   , <span class="methodparam"><span class="type">float</span> <code class="parameter">$new_min</code></span>
   , <span class="methodparam"><span class="type">float</span> <code class="parameter">$new_max</code></span>
   )</div>

  <p class="para rdfs-comment">
   Scales the inputs and outputs in the training data to the specified range.
  </p>
 </div>


 <div class="refsect1 parameters" id="refsect1-function.fann-scale-train-data-parameters">
  <h3 class="title">Parameters</h3>
  <dl>

   <dt>

    <span class="term"><em><code class="parameter">train_data</code></em></span>
    <dd>

     <p class="para">Neural network training data <span class="type"><a href="language.types.resource.html" class="type resource">resource</a></span>.</p>
    </dd>

   </dt>

   <dt>

    <span class="term"><em><code class="parameter">new_min</code></em></span>
    <dd>

     <p class="para">
      New minimum after scaling inputs and outputs in training data.
     </p>
    </dd>

   </dt>

   <dt>

    <span class="term"><em><code class="parameter">new_max</code></em></span>
    <dd>

     <p class="para">
      New maximum after scaling inputs and outputs in training data.
     </p>
    </dd>

   </dt>

  </dl>

 </div>


 <div class="refsect1 returnvalues" id="refsect1-function.fann-scale-train-data-returnvalues">
  <h3 class="title">Return Values</h3>
  <p class="para">Returns <strong><code>TRUE</code></strong> on success, or <strong><code>FALSE</code></strong> otherwise.</p>
 </div>


 <div class="refsect1 seealso" id="refsect1-function.fann-scale-train-data-seealso">
  <h3 class="title">See Also</h3>
  <p class="para">
   <ul class="simplelist">
    <li class="member"> <span class="function"><a href="function.fann-scale-output-train-data.html" class="function" rel="rdfs-seeAlso">fann_scale_output_train_data()</a> - Scales the outputs in the training data to the specified range</span></li>
    <li class="member"> <span class="function"><a href="function.fann-scale-input-train-data.html" class="function" rel="rdfs-seeAlso">fann_scale_input_train_data()</a> - Scales the inputs in the training data to the specified range</span></li>
   </ul>
  </p>
 </div>



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