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<h1 class="refname">fann_set_weight</h1>
<p class="verinfo">(PECL fann >= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_set_weight</span> — <span class="dc-title">Set a connection in the network</span></p>
</div>
<div class="refsect1 description" id="refsect1-function.fann-set-weight-description">
<h3 class="title">Description</h3>
<div class="methodsynopsis dc-description">
<span class="type">bool</span> <span class="methodname"><strong>fann_set_weight</strong></span>
( <span class="methodparam"><span class="type">resource</span> <code class="parameter">$ann</code></span>
, <span class="methodparam"><span class="type">int</span> <code class="parameter">$from_neuron</code></span>
, <span class="methodparam"><span class="type">int</span> <code class="parameter">$to_neuron</code></span>
, <span class="methodparam"><span class="type">float</span> <code class="parameter">$weight</code></span>
)</div>
<p class="para rdfs-comment">
Set a connections in the network.
</p>
</div>
<div class="refsect1 parameters" id="refsect1-function.fann-set-weight-parameters">
<h3 class="title">Parameters</h3>
<dl>
<dt>
<span class="term"><em><code class="parameter">ann</code></em></span>
<dd>
<p class="para">Neural network <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">from_neuron</code></em></span>
<dd>
<p class="para">
The neuron where the connection starts
</p>
</dd>
</dt>
<dt>
<span class="term"><em><code class="parameter">to_neuron</code></em></span>
<dd>
<p class="para">
The neuron where the connection ends
</p>
</dd>
</dt>
<dt>
<span class="term"><em><code class="parameter">weight</code></em></span>
<dd>
<p class="para">
Connection weight
</p>
</dd>
</dt>
</dl>
</div>
<div class="refsect1 returnvalues" id="refsect1-function.fann-set-weight-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>
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