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68 lines
2.1 KiB
HTML
68 lines
2.1 KiB
HTML
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<html>
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<head>
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<meta http-equiv="content-type" content="text/html; charset=UTF-8">
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<title>将通过神经网络运行输入。</title>
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</head>
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<body class="docs"><div id="layout">
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<div id="layout-content"><div id="function.fann-run" class="refentry">
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<div class="refnamediv">
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<h1 class="refname">fann_run</h1>
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<p class="verinfo">(PECL fann >= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_run</span> — <span class="dc-title">将通过神经网络运行输入。</span></p>
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</div>
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<div class="refsect1 description" id="refsect1-function.fann-run-description">
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<h3 class="title">说明</h3>
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<div class="methodsynopsis dc-description">
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<span class="methodname"><strong>fann_run</strong></span>
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( <span class="methodparam"><span class="type">resource</span> <code class="parameter">$ann</code></span>
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, <span class="methodparam"><span class="type">array</span> <code class="parameter">$input</code></span>
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) : <span class="type">array</span></div>
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<p class="para rdfs-comment">
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将通过神经网络运行输入，返回输出数组，数组的长度等于输出层神经元的个数。
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</p>
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</div>
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<div class="refsect1 parameters" id="refsect1-function.fann-run-parameters">
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<h3 class="title">参数</h3>
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<dl>
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<dt>
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<code class="parameter">ann</code></dt>
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<dd>
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<p class="para">Neural network <span class="type"><a href="language.types.resource.html" class="type resource">resource</a></span>.</p>
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</dd>
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<dt>
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<code class="parameter">input</code></dt>
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<dd>
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<p class="para">
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输入数组的值。
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</p>
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</dd>
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</dl>
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</div>
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<div class="refsect1 returnvalues" id="refsect1-function.fann-run-returnvalues">
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<h3 class="title">返回值</h3>
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<p class="para">
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成功，返回输出数组，错误则返回 <strong><code>FALSE</code></strong> .
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</p>
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</div>
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</div></div></div></body></html> |