下一步，我们将讨论如何创建和使用这些策略，它们可以帮助您利用数据分级，但对于创建显性分级的讨论已超出本文所涉及的范围。
Next, we discuss how to create and use policies which aid towards leveraging tiers for your data, but discussion about creating the explicit tiers is out of scope for this article.
采用在已知参数范围内随机选取足够的样本的方法来训练危险度分级的神经网络模型。
The ANN model of the dangerous degree classification also trained by random selected enough samples in the range of known parameters.
该系统在全球范围内被用来对发动机油粘度分级。
The system, has been adopted worldwide for engine oil viscosities.
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