<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computation on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/computation/</link><description>Recent content in Computation on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/computation/index.xml" rel="self" type="application/rss+xml"/><item><title>神经计算</title><link>https://terms-en.ai-term-hub.com/zh/terms/neural_computation/</link><pubDate>Sat, 18 Jul 2026 11:28:12 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/neural_computation/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>神经计算是指人工神经元执行数学运算，将输入信号转化为输出响应的过程。它涉及加权求和、激活函数以及反向传播（backpropagation）。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>受生物神经元启发的神经网络中信息处理的过程。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>激活函数&lt;/li>
&lt;li>加权求和&lt;/li>
&lt;li>反向传播&lt;/li>
&lt;li>分布式表示&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>图像识别系统&lt;/li>
&lt;li>自然语言处理模型&lt;/li>
&lt;li>预测性分析&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/deep-learning-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/">Deep learning (深度学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/perceptron-%E6%84%9F%E7%9F%A5%E6%9C%BA/">Perceptron (感知机)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/gradient-descent-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D/">Gradient descent (梯度下降)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/synaptic-weight-%E7%AA%81%E8%A7%A6%E6%9D%83%E9%87%8D/">Synaptic weight (突触权重)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>