摘 要: 关联规则的发现是数据挖掘中的一个重要问题.但只是对离散型数据进行处理。
Absrtact: Disoovery of association rule is an important problem in database mining, but it is merely used to handle the discrete data.
该方法对差分演化算法的操作算子进行改进,解决了差分演化算法生成离散型测试数据的问题。
This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm.
介绍了如何采用离散型系统仿真力法,以生产实际数据来建立钢锭从浇注到轧制过程的系统仿真模型的做法。
This paper introduces how to apply discrete system emulation method to establish a system emulation model from casting to rolling for steel ingot based on production data.
Secondly, that those values are discrete.
其次,这是一些离散型数据。
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