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支持索引词汇动态扩充的实例检索算法 被引量:1

Case Retrieval Algorithm for Supporting Dynamically Extensible Index Word
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摘要 实例检索是基于实例产品设计的关键。文中介绍了一种实例检索策略 ,支持实例索引词汇的动态扩充 ,并综合考虑“当前问题”、“用户选择实例”和“实例集中相似度更高的实例”的比较 ,提出了 6条法则动态调整特征权重和特征属性相似度。所开发的“基于知识的机床夹具 CAD系统”已在某大型航空企业应用于国家重点型号工程的研制 ,取得了满意的效果。 Case-based reasoning is widely used in mechanical product design. Case retrieval algorithm is one of the most important issues for current research in case-based product design. A new case retrieval algorithm has the following advantages: firstly, features and their attributes which describe the index of cases can be dynamically expanded when the system is running; secondly, six policies are given to learn and adjust feature weights and similarities of feature attributes by analyzing the differences among the current design problem, the case selected by user and the more similar cases with the current design problem in case base. The dedicated computer aided fixture design system used for a key national aviation project proves the feasibility and the efficiency of the algorithm.
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2004年第6期797-802,共6页 Journal of Nanjing University of Aeronautics & Astronautics
基金 国家 8 63高技术研究发展计划 (2 0 0 2 AA41 1 0 3 0 )资助项目
关键词 CAD 基于实例推理 实例检索算法 特征权重 CAD case-based reasoning case retrieval algorithm feature weights
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参考文献8

  • 1高济.基于知识的软件智能化技术[M].杭州:浙江大学出版社,2001..
  • 2Lee K S, Luo L. Application of case-based reasoning in die-casting die design[J]. The International Journal of Advanced Manufacturing Technology,2002,20(1 ): 284~295.
  • 3Li Wei, Li Peigen, Rong Y. Case-based agile fixture design [J]. High Technology Letters (English Edition), 2001, 7(3):70~74.
  • 4李迎光,周儒荣,黄翔,廖文和.基于主参数信息模型的多实例库设计[J].计算机辅助设计与图形学学报,2004,16(1):134-137. 被引量:13
  • 5Zhong Zhang. Static and dynamic feature weighting in case-based reasoning(CBR)[D]. Simon Fraser University, 1997.
  • 6Shiu SCK, YuengDS, SunCH, et al. Transferring case knowledge to adaptation knowledge: an approach for case-base maintenance[J]. Computational Intelligence, 2001, 17(2): 295~314.
  • 7Zhang Zhong, Qiang Yang. Feature weight maintenance in case based using introspective learning[J].Journal of Intelligent Information Systems, 2001,16(1):95~116.
  • 8Zhang Zhong, Qiang Yang. Dynamic refinement of feature-weights in CBR using quantitative introspective learning[A]. Proceeding of the International Joint Conference in Artificial Intelligence[C]. San Fransisco, USA: Morgan Kaufmann, 1999. 228~233.

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