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93 lines
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HTML
93 lines
3.7 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>使用一个输入集和一个期望的输出集来迭代训练一次。</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-train" class="refentry">
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<div class="refnamediv">
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<h1 class="refname">fann_train</h1>
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<p class="verinfo">(PECL fann >= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_train</span> — <span class="dc-title">使用一个输入集和一个期望的输出集来迭代训练一次。</span></p>
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</div>
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<div class="refsect1 description" id="refsect1-function.fann-train-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_train</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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使用一个输入集和一个期望的输出集来迭代训练一次。 该训练一直是递增训练，因此只会出现一个模式。
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</p>
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</div>
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<div class="refsect1 parameters" id="refsect1-function.fann-train-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，这个数组的长度应该恰好和 <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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期望输出数组，这个数组的长度应该恰好和<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-train-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-train-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_train_on_data.html" class="function" rel="rdfs-seeAlso">fann_train_on_data()</a> - 在整个数据集上训练一段时间。</span></li>
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<li class="member"><span class="function"><a href="fann_train_epoch.html" class="function" rel="rdfs-seeAlso">fann_train_epoch()</a> - 使用一组训练数据训练一个周期。</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> |