与“暗网”对应的，是“明网”，也称表层网络（Surface Web），曾有学术机构统计过“暗网”与“明网”分别蕴含的数据比例，结果显示前者的数据存量百倍于后者，且增长速度更快。
基于64个网页-相关网页
虽然这种做法对网络表层的网页行之有效，但这些自动搜寻程序难以穿透数据库，因为数据库是设置为应对输入型查询的。
While that approach works well for the pages that make up the surface Web, these programs have a harder time penetrating databases that are set up to respond to typed queries.
对取自长江、黄河三角洲和东海230个表层沉积物样的重矿物资料进行人工神经网络分析。
Detrital mineral data of230surface sediment samples in Changjiang River (Yangtze River) and Huanghe (Yellow River) Deltas, and Outer East China Sea were analysed by BP Artificial Neural Network.
基于表层语义理解的工作，我们继续进行深层语义计算的研究，真正意义上的实现语义神经网络的自然语言理解。
On the basis of this work, we continue to carry on the research of Deep-seated Semantic Computing and really realize the understanding of the nature language with the Semantic Neural Network.
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