An Application of Case Based Reasoning to Predict Structure Maintainability

Haiquan Yu, Gaoliang Peng, Wen-jian Liu
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引用次数: 4

Abstract

In order to complete maintainability design and prediction in design stage, case based reasoning (CBR), as an artificial intelligence (AI) method, is used in this paper. The maintainability of structure is considered in design stage. So the cases of structure including not only function factors but also maintainability factors are presented by frame. The retrieval algorithm about similar cases is put forward through two layers: function factors and maintainability factors. With CBR, the method could help designers, by referencing previous cases, to make a conceptual maintainability design and prediction quickly, and finally finish the detailed design and prediction. In this paper a new method is put forward to predict the maintainability of structure in design stage.
基于案例推理在结构可维护性预测中的应用
为了在设计阶段完成可维护性设计和预测,本文采用了基于案例推理(case based reasoning, CBR)的人工智能方法。在设计阶段就考虑了结构的可维护性。以框架形式给出了既有功能因素又有可维护性因素的结构实例。通过功能因子和可维护性因子两层提出了相似案例的检索算法。该方法可以帮助设计者通过参考以往的案例,快速地进行概念性的可维护性设计和预测,最后完成详细的设计和预测。本文提出了一种在设计阶段预测结构可维护性的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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