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93 lines
3.5 KiB
HTML
93 lines
3.5 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>使用一组输入和一组期望的输出来测试。</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-test" class="refentry">
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<div class="refnamediv">
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<h1 class="refname">fann_test</h1>
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<p class="verinfo">(PECL fann >= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_test</span> — <span class="dc-title">使用一组输入和一组期望的输出来测试。</span></p>
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</div>
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<div class="refsect1 description" id="refsect1-function.fann-test-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_test</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="methodparam"><span class="type">array</span> <code class="parameter">$desired_output</code></span>
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) : <span class="type">bool</span></div>
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<p class="para rdfs-comment">
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使用一组输入和一组期望的输出来测试。 这个操作将会更新均方误差，但是无论如何都不会改变网络。
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</p>
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</div>
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<div class="refsect1 parameters" id="refsect1-function.fann-test-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。 这个数组必须和 <span class="function"><a href="fann_get_num_input.html" class="function">fann_get_num_input()</a></span> 一样长。
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</p>
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</dd>
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<dt>
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<code class="parameter">desired_output</code></dt>
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<dd>
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<p class="para">
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期望的输出数组。 这个数组必须和 <span class="function"><a href="fann_get_num_output.html" class="function">fann_get_num_output()</a></span> 一样长.
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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-test-returnvalues">
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<h3 class="title">返回值</h3>
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<p class="para">Returns <strong><code>TRUE</code></strong> on success, or <strong><code>FALSE</code></strong> otherwise.</p>
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</div>
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<div class="refsect1 seealso" id="refsect1-function.fann-test-seealso">
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<h3 class="title">参见</h3>
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<p class="para">
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<ul class="simplelist">
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<li class="member"><span class="function"><a href="fann_test_data.html" class="function" rel="rdfs-seeAlso">fann_test_data()</a> - 使用训练数据来测试并且计算出 MSE .</span></li>
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<li class="member"><span class="function"><a href="fann_train.html" class="function" rel="rdfs-seeAlso">fann_train()</a> - 使用一个输入集和一个期望的输出集来迭代训练一次。</span></li>
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<li class="member"><span class="function"><a href="fann_get_num_input.html" class="function" rel="rdfs-seeAlso">fann_get_num_input()</a> - 获取输入神经元的数量。</span></li>
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<li class="member"><span class="function"><a href="fann_get_num_output.html" class="function" rel="rdfs-seeAlso">fann_get_num_output()</a> - 获取输出神经元的数量。</span></li>
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</ul>
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</p>
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</div>
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</div></div></div></body></html> |