基于改进先验的高层结构智能选型知识发现

Shihai Zhang, Shu-jun Liu, Dong Wang, J. Ou, Guang-yuan Wang
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引用次数: 3

摘要

首先,给出了关联规则的评价指标;分析了它们的意义;介绍了知识发现的Apriori算法,并分析了其缺陷。其次,建立了一种基于apriori的高层智能选型知识发现方法。最后给出了该方法的算例。该方法为挖掘工程实例中的知识信息,指导结构形式选择设计,提高结构设计的质量、效率和智能化水平提供了新的途径
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Discovery of Improved Apriori-Based High-Rise Structure Intelligent Form Selection
First, evaluation indexes of association rule are provided; meaning of them is analyzed; the Apriori arithmetic about knowledge discovery is introduced and its defects are analyzed. Next, a knowledge discovery method of improved Apriori-based high-rise intelligent form selection is established. Finally, examples of this method are presented. This method provides a new approach to mining knowledge information in engineering cases, guiding structural form selection design and to improving quality, efficiency and intelligence level of structural design
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