运用LY12CZ的腐蚀实验数据，根据高强铝合金的失效模式（点蚀-晶间腐蚀-剥蚀），建立了对最大腐蚀深度分类的概率神经网络模型，输出结果与实验数据比较吻合。
Make use of available experimental data of LY12CZ aluminum alloy, a probabilistic neural network was developed to classify the maximum corrosion depth ranges based on the material failure mode.
为了方便地说明样式表中能够出现的各种元素的作用，按照第一次出现的深度进行分类。
To ease the discussion of the roles of various elements that can appear in a stylesheet, they are classified by the depth at which they first appear.
Galaxy Zoo项目寻求大众的参与，协助斯隆数字巡天系统记录下的大量星系，以及更多最新的深度哈勃影像进行分类。
Galaxy Zoo enlists the public to help classify galaxies found in the Sloan Digital Sky Survey, and more recently in deep Hubble imagery.
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